The complex case of EHRs: examining the factors impacting the EHR user experience

Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis

BACKGROUND

Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals.

OBJECTIVE

This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout.

METHODS

We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management.

RESULTS

The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57).

CONCLUSIONS

The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.

When rules turn into tools: An activity theory-based perspective on implementation processes and unintended consequences

The idea that actions of people, organizations or governments may lead to Unintended Consequences (UICs) is not new. In health, UICs have been reported as a result of various interventions including quality improvement initiatives, health information technology implementation, and knowledge translation, especially those involving translation of broad policies (evidence-based medicine and patient-centred care) or system level improvement into actionable items or tools. While some unintended consequences cannot be anticipated, others may be predictable. In this article, we present a model based on cultural historical activity theory, which may help policy-makers, health leaders, and researchers better anticipate UICs resulting from implementation of new programs or technologies and take action to address them or mitigate their risk of occurrence. We support this model using examples of UICs of implementing family centred care principles, electronic health records, and computerized templates for quality improvement in chronic disease management.

Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review

The cognitive load theory suggests that completing a task relies on the interplay between sensory input, working memory, and long-term memory. Cognitive overload occurs when the working memory's limited capacity is exceeded due to excessive information processing. In health care, clinicians face increasing cognitive load as the complexity of patient care has risen, leading to potential burnout. Electronic health records (EHRs) have become a common feature in modern health care, offering improved access to data and the ability to provide better patient care. They have been added to the electronic ecosystem alongside emails and other resources, such as guidelines and literature searches. Concerns have arisen in recent years that despite many benefits, the use of EHRs may lead to cognitive overload, which can impact the performance and well-being of clinicians. We aimed to review the impact of EHR use on cognitive load and how it correlates with physician burnout. Additionally, we wanted to identify potential strategies recommended in the literature that could be implemented to decrease the cognitive burden associated with the use of EHRs, with the goal of reducing clinician burnout. Using a comprehensive literature review on the topic, we have explored the link between EHR use, cognitive load, and burnout among health care professionals. We have also noted key factors that can help reduce EHR-related cognitive load, which may help reduce clinician burnout. The research findings suggest that inadequate efforts to present large amounts of clinical data to users in a manner that allows the user to control the cognitive burden in the EHR and the complexity of the user interfaces, thus adding more "work" to tasks, can lead to cognitive overload and burnout; this calls for strategies to mitigate these effects. Several factors, such as the presentation of information in the EHR, the specialty, the health care setting, and the time spent completing documentation and navigating systems, can contribute to this excess cognitive load and result in burnout. Potential strategies to mitigate this might include improving user interfaces, streamlining information, and reducing documentation burden requirements for clinicians. New technologies may facilitate these strategies. The review highlights the importance of addressing cognitive overload as one of the unintended consequences of EHR adoption and potential strategies for mitigation, identifying gaps in the current literature that require further exploration.

Optimization of Electronic Health Record Usability Through a Department-Led Quality Improvement Process

BACKGROUND

Electronic health records (EHR) have become commonplace in medicine. A disconnect between developers and users while creating the interface often fails to create a product that captures clinical workflow, and issues become apparent with implementation. Optimization allows collaboration of clinicians and informaticists after implementation, but documentation of success has only been at the institutional level.

METHODS

A 4-month, department-wide EHR optimization was conducted with information technology (IT). Optimizations were developed from an intensive quality improvement process involving all levels of clinicians and clinical staff. The optimizations were then categorized as accommodations (department adjusted workflow to EHR), creations (IT developed new workflows within EHR), discoveries (department found workflows within EHR), and modifications (IT changed workflows within EHR). Departmental productivity, defined as number of visits, charges, and payments, was standardized to ratios prior to the COVID-19 pandemic and evaluated by Taylor's change point analysis. Significant improvements were defined as shifts (change points), trends (5 or more consecutive values above/below the mean), and values outside 95% CIs.

RESULTS

The 124 optimizations were categorized as 43 accommodations, 13 creations, 54 discoveries, and 14 modifications. Productivity ratios of monthly charges (0.74 to 1.28) and payments (0.83 to 1.58) significantly improved with the optimization efforts. Monthly visit ratios increased (0.65 to 0.98) but did not change significantly.

CONCLUSION

Departmental collaboration with organizational IT for EHR optimization focused on detailed analysis of how workflows can impact productivity. Discovery optimization predominance indicates many solutions to EHR usability problems were already in the system. A large proportion of accommodation optimizations reinforced the need for better developer-user collaboration before implementation.Annals Early Access.

Explaining Variability in Electronic Health Record Effort in Primary Care Ambulatory Encounters

BACKGROUND

 Electronic health record (EHR) user interface event logs are fast providing another perspective on the value and efficiency EHR technology brings to health care. Analysis of these detailed usage data has demonstrated their potential to identify EHR and clinical process design factors related to user efficiency, satisfaction, and burnout.

OBJECTIVE

 This study aimed to analyze the event log data across 26 different health systems to determine the variability of use of a single vendor's EHR based on four event log metrics, at the individual, practice group, and health system levels.

METHODS

 We obtained de-identified event log data recorded from June 1, 2018, to May 31, 2019, from 26 health systems' primary care physicians. We estimated the variability in total Active EHR Time, Documentation Time, Chart Review Time, and Ordering Time across health systems, practice groups, and individual physicians.

RESULTS

 In total, 5,444 physicians (Family Medicine: 3,042 and Internal Medicine: 2,422) provided care in a total of 2,285 different practices nested in 26 health systems. Health systems explain 1.29, 3.55, 3.45, and 3.30% of the total variability in Active Time, Documentation Time, Chart Review Time, and Ordering Time, respectively. Practice-level variability was estimated to be 7.96, 13.52, 8.39, and 5.57%, respectively, and individual physicians explained the largest proportion of the variability for those same outcomes 17.09, 27.49, 17.51, and 19.75%, respectively.

CONCLUSION

 The most variable physician EHR usage patterns occurs at the individual physician level and decreases as you move up to the practice and health system levels. This suggests that interventions to improve individual users' EHR usage efficiency may have the most potential impact compared with those directed at health system or practice levels.

Electronic health records and clinical documentation in medical residency programs: preparing residents to become master clinicians

OBJECTIVE

The ubiquity of electronic health records (EHRs) has made incorporating EHRs into medical practice an essential component of resident's training. Patient encounters, an important element of practice, are impacted by EHRs through factors that include increasing documentation requirements. This research sheds light on the role of EHRs on resident clinical skills development with emphasis on their role in patient encounters.

MATERIALS AND METHODS

We conducted qualitative semistructured interviews with 32 residents and 13 clinic personnel at an internal medicine residency program in a western US medical school focusing on the resident's clinic rotation.

RESULTS

Residents were learning to use the EHR to support and enhance their patient encounters, but one factor making that more challenging for many was the need to address quality measures. Quality measures could shift attention away from the primary reason for the encounter and addressing them consumed time that could have been spent diagnosing and treating the patient's chief complaint. A willingness to learn on-the-job by asking questions was important for resident development in using the EHR to support their work and improve their clinical skills.

DISCUSSION

Creating a culture where residents seek guidance on how to use the EHR and incorporate it into their work will support residents on their journey to become master clinicians. Shifting some documentation to the patient and other clinicians may also be necessary to keep from overburdening residents.

CONCLUSION

Residency programs must support residents as they develop their clinical skills to practice in a world where EHRs are ubiquitous.

Barriers to Health Information Exchange Among Ambulatory Physicians: Results From a Nationally Representative Sample

PURPOSE

Health information exchange (HIE) improves healthcare quality, but is underutilized by providers. This study used a nationally representative survey of ambulatory physicians to examine barriers to HIE, and identify which barriers have the greatest impact on providers' use of HIE.

METHODS

A pooled sample of 1,292 physicians from the 2018-2019 National Electronic Health Record Survey was used. Univariate statistics described rates and patterns of eight common barriers to HIE. Multivariate logistic regression examined the relationship between each barrier and the use of HIE.

RESULTS

Barriers to HIE were common and diverse. Negative attitudes toward HIE's ability to improve clinical quality significantly decreased HIE use (OR = .44, p < .01).

CONCLUSIONS

To increase adoption of HIE, efforts should focus on addressing providers' negative attitudes toward HIE. These findings can guide targeted implementation strategies to improve HIE adoption.

A-GSTCN: An Augmented Graph Structural-Temporal Convolution Network for Medication Recommendation Based on Electronic Health Records

Medication recommendation based on electronic health records (EHRs) is a significant research direction in the biomedical field, which aims to provide a reasonable prescription for patients according to their historical and current health conditions. However, the existing recommended methods have many limitations in dealing with the structural and temporal characteristics of EHRs. These methods either only consider the current state while ignoring the historical situation, or fail to adequately assess the structural correlations among various medical events. These factors result in poor recommendation quality. To solve this problem, we propose an augmented graph structural-temporal convolutional network (A-GSTCN). Firstly, an augmented graph attention network is used to model the structural features among medical events of patients' EHRs. Next, the dilated convolution combined with residual connection is applied in the proposed model, which can improve the temporal prediction capability and further reduce the complexity. Moreover, the cache memory module further enhances the model's learning of the history of EHRs. Finally, the A-GSTCN model is compared with the baselines through experiments, and the efficiency of the A-GSTCN model is verified by Jaccard, F1 and PRAUC. Not only that, the proposed model also reduces the training parameters by an order of magnitude.

A Multiyear Survey Evaluating Clinician Electronic Health Record Satisfaction

OBJECTIVES

We assessed how clinician satisfaction with a vendor electronic health record (EHR) changed over time in the 4 years following the transition from a homegrown EHR system to identify areas for improvement.

METHODS

We conducted a multiyear survey of clinicians across a large health care system after transitioning to a vendor EHR. Eligible clinicians from the first institution to transition received a survey invitation by email in fall 2016 and then eligible clinicians systemwide received surveys in spring 2018 and spring 2019. The survey included items assessing ease/difficulty of completing tasks and items assessing perceptions of the EHR's value, usability, and impact. One item assessing overall satisfaction and one open-ended question were included. Frequencies and means were calculated, and comparison of means was performed between 2018 and 2019 on all clinicians. A multivariable generalized linear model was performed to predict the outcome of overall satisfaction.

RESULTS

Response rates for the surveys ranged from 14 to 19%. The mean response from 3 years of surveys for one institution, Brigham and Women's Hospital, increased for overall satisfaction between 2016 (2.85), 2018 (3.01), and 2019 (3.21, p < 0.001). We found no significant differences in mean response for overall satisfaction between all responders of the 2018 survey (3.14) and those of the 2019 survey (3.19). Systemwide, tasks rated the most difficult included "Monitoring patient medication adherence," "Identifying when a referral has not been completed," and "Making a list of patients based on clinical information (e.g., problem, medication)." Clinicians disagreed the most with "The EHR helps me focus on patient care rather than the computer" and "The EHR allows me to complete tasks efficiently."

CONCLUSION

Survey results indicate room for improvement in clinician satisfaction with the EHR. Usability of EHRs should continue to be an area of focus to ease clinician burden and improve clinician experience.

Best Practices for Technology in Clinical Social Work and Mental Health Professions to Promote Well-being and Prevent Fatigue

The shift to communication technologies during the pandemic has had positive and negative effects on clinical social worker practice. Best practices are identified for clinical social workers to maintain emotional well-being, prevent fatigue, and avoid burnout when using technology. A scoping review from 2000 to 21 of 15 databases focused on communication technologies for mental health care within four areas: (1) behavioral, cognitive, emotional, and physical impact; (2) individual, clinic, hospital, and system/organizational levels; (3) well-being, burnout, and stress; and (4) clinician technology perceptions. Out of 4795 potential literature references, full text review of 201 papers revealed 37 were related to technology impact on engagement, therapeutic alliance, fatigue and well-being. Studies assessed behavioral (67.5%), emotional (43.2%), cognitive (57.8%), and physical (10.8%) impact at the individual (78.4%), clinic (54.1%), hospital (37.8%) and system/organizational (45.9%) levels. Participants were clinicians, social workers, psychologists, and other providers. Clinicians can build a therapeutic alliance via video, but this requires additional skill, effort, and monitoring. Use of video and electronic health records were associated with clinician physical and emotional problems due to barriers, effort, cognitive demands, and additional workflow steps. Studies also found high user ratings on data quality, accuracy, and processing, but low satisfaction with clerical tasks, effort required and interruptions. Studies have overlooked the impact of justice, equity, diversity and inclusion related to technology, fatigue and well-being, for the populations served and the clinicians providing care. Clinical social workers and health care systems must evaluate the impact of technology in order to support well-being and prevent workload burden, fatigue, and burnout. Multi-level evaluation and clinical, human factor, training/professional development and administrative best practices are suggested.

Integrated care for children living with complex care needs: an evolutionary concept analysis

Children with complex care needs (CCNs) are in need of improved access to healthcare services, communication, and support from healthcare professionals to ensure high-quality care is delivered to meet their needs. Integrated care is viewed as a key component of care delivery for children with CCNs, as it promotes the integration of healthcare systems to provide family and child-centred care across the entire health spectrum. There are many definitions and frameworks that support integrated care, but there is a lack of conceptual clarity around the term. Furthermore, it is often unclear how integrated care can be delivered to children with CCNs, therefore reinforcing the need for further clarification on how to define integrated care. An evolutionary concept analysis was conducted to clarify how integrated care for children with CCNs is defined within current literature. We found that integrated care for children with CCNs refers to highly specialised individualised care within or across services, that is co-produced by interdisciplinary teams, families, and children, supported by digital health technologies.  Conclusion: Given the variation in terms of study design, outcomes, and patient populations this paper highlights the need for further research into methods to measure integrated care. What is Known: • Children with complex care needs require long-term care, and are in need of improved services, communication, and information from healthcare professionals to provide them with the ongoing support they need to manage their condition. • Integrated care is a key component in healthcare delivery for children with complex care needs as it has the potential to improve access to family-centred care across the entire health spectrum. What is New: • Integrated care for children with CCNs refers to highly specialised individualised care within or across services, that is co-produced by interdisciplinary teams, families, and children, supported by digital health technologies. • There is a need for the development of measurement tools to effectively assess integrated care within practice.

Early Performance of the Patients Over Paperwork Initiative among Family Medicine Physicians

OBJECTIVES

In 2019, the Centers for Medicare & Medicaid Services began implementing the Patients Over Paperwork (POP) initiative in response to clinicians reporting burdensome documentation regulations. To date, no study has evaluated how these policy changes have influenced documentation burden.

METHODS

Our data came from the electronic health records of an academic health system. Using quantile regression models, we assessed the association between the implementation of POP and clinical documentation word count using data from family medicine physicians in an academic health system from January 2017 to May 2021 inclusive. Studied quantiles included the 10th, 25th, 50th, 75th, and 90th quantiles. We controlled for patient-level (race/ethnicity, primary language, age, comorbidity burden), visit-level (primary payer, level of clinical decision making involved, whether a visit was done through telemedicine, whether a visit was for a new patient), and physician-level (sex) characteristics.

RESULTS

We found that the POP initiative was associated with lower word counts across all of the quantiles. In addition, we found lower word counts among notes for private payers and telemedicine visits. Conversely, higher word counts were observed in notes that were written by female physicians, notes for new patient visits, and notes involving patients with greater comorbidity burden.

CONCLUSIONS

Our initial evaluation suggests that documentation burden, as measured by word count, has declined over time, particularly following implementation of the POP in 2019. Additional research is needed to see whether the same occurs when examining other medical specialties, clinician types, and longer evaluation periods.

Relationships Between EHR-Based Audit Log Data and Physician Burnout and Clinical Practice Process Measures

OBJECTIVE

To explore the relationship of electronic health record (EHR)-based audit log data with physician burnout and clinical practice process measures.

METHODS

From September 4 to October 7, 2019, we surveyed physicians in a larger academic medical department and matched responses to August 1 through October 31, 2019, EHR-based audit log data. Multivariable regression analysis evaluated the relationship between log data and burnout and the interrelationship between log data and turnaround time for In Basket messages and percentage of encounters closed within 24 hours.

RESULTS

Of the 537 physicians surveyed, 413 (77%) responded. On multivariable analysis, number of In Basket messages received per day (each additional message: odds ratio, 1.04 [95% CI, 1.02 to 1.07]; P<.001) and time spent in the EHR outside scheduled patient care (each additional hour: odds ratio, 1.01 [95% CI, 1.00 to 1.02]; P=.04) were associated with burnout. Time spent doing In Basket work (each additional minute: parameter estimate, -0.11 [95% CI, -0.19 to -0.03]; P=.01) and in the EHR outside scheduled patient care (each additional hour: parameter estimate, 0.04 [95% CI, 0.01 to 0.06]; P=.002) were associated with turnaround time (days per message) for In Basket messages. None of the variables explored were independently associated with percentage of encounters closed within 24 hours.

CONCLUSION

Electronic health record-based audit log data of workload relate to odds of burnout and responsiveness to patient-related inquiries and results. Further study is needed to determine whether interventions that reduce the number of and time spent doing In Basket messages or time spent in the EHR outside scheduled patient care reduce physician burnout and improve clinical practice process measures.

Using information technology to integrate tobacco use treatment in routine oncology care: Lessons learned from the U.S. Cancer Center Cessation Initiative Cancer Centers

Background

Cancer patients who receive evidence-based tobacco-dependence treatment are more likely to quit and remain abstinent, but tobacco treatment programs (TTPs) are not consistently offered. In 2017, the U.S. National Cancer Institute, through the Cancer Moonshot, funded the Cancer Center Cessation Initiative (C3I). C3I supports 52 cancer centers to implement and expand evidence-based tobacco treatment in routine oncology care. Integration into routine care involves the use of health information technology (IT), including modifying electronic health records and clinical workflows. Here, we examine C3I cancer centers' IT leadership involvement and experiences in tobacco-dependence treatment implementation.

Method

This qualitative study of C3I-funded cancer centers integrated data from online surveys and in-person, semistructured interviews with IT leaders. We calculated descriptive statistics of survey data and applied content analysis to interview transcripts.

Results

Themes regarding IT personnel included suggestions to involve IT early, communicate regularly, understand the roles and influence of the IT team, and match program design with IT funding and resources. Themes regarding electronic health record (EHR) modifications included beginning modifications early to account for long lead time to make changes, working with IT to identify and adapt existing EHR tools for TTP or designing tools that will support a desired workflow developed with end-users, and working with IT personnel to make sure TTPs comply with system and state policies (e.g., privacy laws).

Conclusions

The experiences of C3I cancer centers regarding the use of health IT to enhance tobacco-dependence treatment program implementation can guide cancer centers and community oncology practices to potentially enhance TTP implementation and patient outcomes.

Nursing knowledge captured in electronic health records

PURPOSE

The purpose of this study was to describe the extent to which nursing assessment data was present in the electronic health record and linked to NANDA-I, NIC, and NOC.

METHODS

This retrospective review used a descriptive approach to examine documentation in the electronic health records (EHR) of 10 hospitalized patients requiring cardiac surgery. A team of experts applied a Delphi consensus-building process to identify the supports and barriers for nursing documentation.

FINDINGS

Collection of the health history was organized using Gordon's Functional Health Pattern (FHP) Framework. Seventy-five fields were noted for the entry of nursing assessment data of which 65 focused on health history data and 30 documented physical findings and observations. There were no references to the defining characteristics or etiologies with any of the diagnostic labels used. Care plans included the nursing diagnoses, goals of care, and interventions, although there was a lack of clear alignment between the assessment, NANDA-I, NIC, and NOC and the care plan. Progress note documentation addressed significant events in the patient's clinical course; however, these were not nursing problem or diagnosis focused. Four expert reviewers arrived at consensus regarding the supports and challenges impacting nurses' ability to document data depicting nursing's contribution to care using a FHP and standardized nursing language in the EHR.

CONCLUSIONS

The EHR provides an opportunity to reflect nursing clinical judgment and make nursing care visible. These findings suggest there are challenges to capturing nurse focused data elements in the EHR.

IMPLICATIONS FOR NURSING PRACTICE

This work has important implications for clinicians, educators, and administrators alike. EHR systems must accurately capture nurses' contribution to patient care to plan for resource allocation and quality care delivery. Ultimately, the development of standardized data sources reflecting the outcomes of nursing care will expand the opportunities to advance nursing knowledge.

Status of the health information system in Ireland and its fitness to support health system performance assessment: a multimethod assessment based on stakeholder involvement

Background

Between 2019 and 2021, the first Irish health system performance assessment (HSPA) framework was developed. As routinely collected health data are necessary to continuously populate indicators of an HSPA framework, a purpose-driven assessment of the health information system (HIS) in Ireland and its fitness to support the implementation of an HSPA framework was conducted. This study reports on the status of the Irish HIS through a multimethod assessment based on continuous broad stakeholder involvement.

Methods

Between May and November 2020, over 50 informants were engaged in individual and group interviews and stakeholder consultation workshops as part of the HIS assessment process. Descriptive themes and high-level data availability heatmaps were derived from interview and workshop data using thematic analysis. Indicator “passports” for the HSPA framework were populated during stakeholder consultation workshops and analysed using univariate descriptive statistics.

Results

The HIS in Ireland was able to provide administrative, survey and registry-based data for public sector acute care services, focusing on structure, process and output metrics. Significant data availability gaps, most notably from primary care, private hospitals and community care, were reported, with little availability of electronic health record and people-reported data. Data on outcome metrics were mostly missing, as were linkage possibilities across datasets for care pathway monitoring. The COVID-19 pandemic highlighted the national HIS’s shortcomings but also the capacity for rapid development and improvement.

Conclusions

A tailor-made assessment of the HIS in Ireland, involving a broad set of relevant stakeholders, revealed strengths, weaknesses and areas for improvement in the Irish health data landscape. It also contributed to the development of a national HSPA framework and momentum to further strengthen data infrastructure and governance, while working towards a more data-driven and person-centred healthcare system. This work demonstrates the utility of an inclusive HIS assessment process and is applicable beyond Ireland, where this case study was conducted.

Improving the User Experience with Discount Site-Specific User Testing

OBJECTIVES

Poor electronic health record (EHR) usability is associated with patient safety concerns, user dissatisfaction, and provider burnout. EHR certification requires vendors to perform user testing. However, there are no such requirements for site-specific implementations. Health care organizations customize EHR implementations, potentially introducing usability problems. Site-specific usability evaluations may help to identify these concerns, and "discount" usability methods afford health systems a means of doing so even without dedicated usability specialists. This report characterizes a site-specific discount user testing program launched at an academic medical center. We describe lessons learned and highlight three of the EHR features in detail to demonstrate the impact of testing on implementation decisions and on users.

METHODS

Thirteen new EHR features which had already undergone heuristic evaluation and iterative design were evaluated over the course of three user test events. Each event included five to six users. Participants used think aloud technique. Measures of user efficiency, effectiveness, and satisfaction were collected. Usability concerns were characterized by the type of usability heuristic violated and by correctability.

RESULTS

Usability concerns occurred at a rate of 2.5 per feature tested. Seventy percent of the usability concerns were deemed correctable prior to implementation. The first highlighted feature was moved to production despite low single ease question (SEQ) scores which may have predicted its subsequent withdrawal from production based on post implementation feedback. Another feature was rebuilt based on usability findings, and a new version was retested and moved to production. A third feature highlights an easily correctable usability concern identified in user testing. Quantitative usability metrics generally reinforced qualitative findings.

CONCLUSION

Simplified user testing with a limited number of participants identifies correctable usability concerns, even after heuristic evaluation. Our discount usability approach to site-specific usability has a role in implementations and may improve the usability of the EHR for the end user.

Efficiency and Safety of Electronic Health Records in Switzerland-A Comparative Analysis of 2 Commercial Systems in Hospitals

OBJECTIVES

Differences in efficiency and safety between 2 electronic health record (systems A and B) in Swiss hospitals were investigated.

METHODS

In a scenario-based usability test under experimental conditions, a total of 100 physicians at 4 hospitals were asked to complete typical routine tasks, like medication or imaging orders. Differences in number of mouse clicks and time-on-task as indicators of efficiency and error type, error count, and rate as indicators of patient safety between hospital sites were analyzed. Time-on-task and clicks were correlated with error count.

RESULTS

There were differences in efficiency and safety between hospitals. Overall, physicians working with system B required less clicks (A: 511, B: 442, P = 0.001) and time (A: 2055 seconds, B: 1713 seconds, P = 0.055) and made fewer errors (A: 40%, B: 27%, P < 0.001). No participant completed all tasks correctly. The most frequent error in medication and radiology ordering was a wrong dose and a wrong level, respectively. Time errors were particularly prevalent in laboratory orders. Higher error counts coincided with longer time-on-task (r = 0.50, P < 0.001) and more clicks (r = 0.47, P < 0.001).

CONCLUSIONS

The variations in clicks, time, and errors are likely due to naive functionality and design of the systems and differences in their implementation. The high error rates coincide with inefficiency and jeopardize patient safety and produce economic costs and burden on physicians. The results raise usability concerns with potential for severe patient harm. A deeper understanding of differences as well as regulative guidelines and policy making are needed.

Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture

Over the last decade, the healthcare sector has accelerated its digitization and electronic health records (EHRs). As information technology progresses, the notion of intelligent health also gathers popularity. By combining technologies such as the internet of things (IoT) and artificial intelligence (AI), innovative healthcare modifies and enhances traditional medical systems in terms of efficiency, service, and personalization. On the other side, intelligent healthcare systems are incredibly vulnerable to data breaches and other malicious assaults. Recently, blockchain technology has emerged as a potentially transformative option for enhancing data management, access control, and integrity inside healthcare systems. Integrating these advanced approaches in agriculture is critical for managing food supply chains, drug supply chains, quality maintenance, and intelligent prediction. This study reviews the literature, formulates a research topic, and analyzes the applicability of blockchain to the agriculture/food industry and healthcare, with a particular emphasis on AI and IoT. This article summarizes research on the newest blockchain solutions paired with AI technologies for strengthening and inventing new technological standards for the healthcare ecosystems and food industry.

Applying requisite imagination to safeguard electronic health record transitions

Over the next decade, many health care organizations (HCOs) will transition from one electronic health record (EHR) to another; some forced by hospital acquisition and others by choice in search of better EHRs. Herein, we apply principles of Requisite Imagination, or the ability to imagine key aspects of the future one is planning, to offer 6 recommendations on how to proactively safeguard these transitions. First, HCOs should implement a proactive leadership structure that values communication. Second, HCOs should implement proactive risk assessment and testing processes. Third, HCOs should anticipate and reduce unwarranted variation in their EHR and clinical processes. Fourth, HCOs should establish a culture of conscious inquiry with routine system monitoring. Fifth, HCOs should foresee and reduce information access problems. Sixth, HCOs should support their workforce through difficult EHR transitions. Proactive approaches using Requisite Imagination principles outlined here can help ensure safe, effective, and economically sound EHR transitions.

Cocreating the ICU-PAUSE Tool for Intensive Care Unit–Ward Transitions

Background

Intensive care unit (ICU)–ward patient transfers are inherently high risk, and clinician miscommunication has been linked to adverse events and negative outcomes. Despite these risks, few educational tools exist to improve resident handoff communication at ICU–ward transfer.

Objective

We used human-centered design (HCD) methods to cocreate a novel electronic health record ICU–ward transfer tool alongside Internal Medicine residents at three academic hospitals.

Methods

We conducted HCD workshops at each hospital, performing process mapping, brainstorming, and rapid prototyping. We performed thematic analysis on verbatim-transcribed workshop audio recordings to inform development and adaptation of the final resident prototype into the ICU-PAUSE tool.

Results

ICU-PAUSE focuses on reasons for ICU admission and problem-based ICU course (I); Code status, goals of care, and family contacts (C); a diagnostic pause acknowledging Uncertainty (U); Pending tests (P); Active consultants (A); high-risk medications, including medications to be Unprescribed (U); Summary of problems and to-dos (S); and a current physical Exam (E).

Conclusion

We used HCD to cocreate a novel, more user-friendly electronic ICU–ward transfer tool, ICU-PAUSE, alongside Internal Medicine trainees. Future steps will involve formal usability testing, evidence-driven implementation, and clinical evaluation of ICU-PAUSE across multiple hospitals.

Successfully Implementing Digital Health to Ensure Future Global Health Security During Pandemics: A Consensus Statement

Importance

COVID-19 has highlighted widespread chronic underinvestment in digital health that hampered public health responses to the pandemic. Recognizing this, the Riyadh Declaration on Digital Health, formulated by an international interdisciplinary team of medical, academic, and industry experts at the Riyadh Global Digital Health Summit in August 2020, provided a set of digital health recommendations for the global health community to address the challenges of current and future pandemics. However, guidance is needed on how to implement these recommendations in practice.

Objective

To develop guidance for stakeholders on how best to deploy digital health and data and support public health in an integrated manner to overcome the COVID-19 pandemic and future pandemics.

Evidence Review

Themes were determined by first reviewing the literature and Riyadh Global Digital Health Summit conference proceedings, with experts independently contributing ideas. Then, 2 rounds of review were conducted until all experts agreed on the themes and main issues arising using a nominal group technique to reach consensus. Prioritization was based on how useful the consensus recommendation might be to a policy maker.

Findings

A diverse stakeholder group of 13 leaders in the fields of public health, digital health, and health care were engaged to reach a consensus on how to implement digital health recommendations to address the challenges of current and future pandemics. Participants reached a consensus on high-priority issues identified within 5 themes: team, transparency and trust, technology, techquity (the strategic development and deployment of technology in health care and health to achieve health equity), and transformation. Each theme contains concrete points of consensus to guide the local, national, and international adoption of digital health to address challenges of current and future pandemics.

Conclusions and Relevance

The consensus points described for these themes provide a roadmap for the implementation of digital health policy by all stakeholders, including governments. Implementation of these recommendations could have a significant impact by reducing fatalities and uniting countries on current and future battles against pandemics.

Comparing International Experiences With Electronic Health Records Among Emergency Medicine Physicians in the United States and Norway: Semistructured Interview Study

Background

The variability in physicians’ attitudes regarding electronic health records (EHRs) is widely recognized. Both human and technological factors contribute to user satisfaction. This exploratory study considers these variables by comparing emergency medicine physician experiences with EHRs in the United States and Norway.

Objective

This study is unique as it aims to compare individual experiences with EHRs. It creates an opportunity to expand perspective, challenge the unknown, and explore how this technology affects clinicians globally. Research often highlights the challenge that health information technology has created for users: Are the negative consequences of this technology shared among countries? Does it affect medical practice? What determines user satisfaction? Can this be measured internationally? Do specific factors account for similarities or differences? This study begins by investigating these questions by comparing cohort experiences. Fundamental differences between nations will also be addressed.

Methods

We used semistructured, participant-driven, in-depth interviews (N=12) for data collection in conjunction with ethnographic observations. The conversations were recorded and transcribed. Texts were then analyzed using NVivo software (QSR International) to develop codes for direct comparison among countries. Comprehensive understanding of the data required triangulation, specifically using thematic and interpretive phenomenological analysis. Narrative analysis ensured appropriate context of the NVivo (QSR International) query results.

Results

Each interview resulted in mixed discussions regarding the benefits and disadvantages of EHRs. All the physicians recognized health care’s dependence on this technology. In Norway, physicians perceived more benefits compared with those based in the United States. Americans reported fewer benefits and disproportionally high disadvantages. Both cohorts believed that EHRs have increased user workload. However, this was mentioned 2.6 times more frequently by Americans (United States [n=40] vs Norway [n=15]). Financial influences regarding health information technology use were of great concern for American physicians but rarely mentioned among Norwegian physicians (United States [n=37] vs Norway [n=6]). Technology dysfunctions were the most common complaint from Norwegian physicians. Participants from each country noted increased frustration among older colleagues.

Conclusions

Despite differences spanning geographical, organizational, and cultural boundaries, much is to be learned by comparing individual experiences. Both cohorts experienced EHR-related frustrations, although etiology differed. The overall number of complaints was significantly higher among American physicians. This study augments the idea that policy, regulation, and administration have compelling influence on user experience. Global EHR optimization requires additional investigation, and these results help to establish a foundation for future research.

PROVIDER TECHNOLOGY, FATIGUE AND WELL-BEING: A SCOPING REVIEW (Preprint)

Background

Video and other technologies are reshaping the delivery of health care, yet barriers related to workflow and possible provider fatigue suggest that a thorough evaluation is needed for quality and process improvement.

Objective

This scoping review explored the relationship among technology, fatigue, and health care to improve the conditions for providers.

Methods

A 6-stage scoping review of literature (from 10 databases) published from 2000 to 2020 that focused on technology, health care, and fatigue was conducted. Technologies included synchronous video, telephone, informatics systems, asynchronous wearable sensors, and mobile health devices for health care in 4 concept areas related to provider experience: behavioral, cognitive, emotional, and physical impact; workplace at the individual, clinic, hospital, and system or organizational levels; well-being, burnout, and stress; and perceptions regarding technology. Qualitative content, discourse, and framework analyses were used to thematically analyze data for developing a spectrum of health to risk of fatigue to manifestations of burnout.

Results

Of the 4221 potential literature references, 202 (4.79%) were duplicates, and our review of the titles and abstracts of 4019 (95.21%) found that 3837 (90.9%) were irrelevant. A full-text review of 182 studies revealed that 12 (6.6%) studies met all the criteria related to technology, health care, and fatigue, and these studied the behavioral, emotional, cognitive, and physical impact of workflow at the individual, hospital, and system or organizational levels. Video and electronic health record use has been associated with physical eye fatigue; neck pain; stress; tiredness; and behavioral impacts related to additional effort owing to barriers, trouble with engagement, emotional wear and tear and exhaustion, cognitive inattention, effort, expecting problems, multitasking and workload, and emotional experiences (eg, anger, irritability, stress, and concern about well-being). An additional 14 studies that evaluated behavioral, emotional, and cognitive impacts without focusing on fatigue found high user ratings on data quality, accuracy, and processing but low satisfaction with clerical tasks, the effort required in work, and interruptions costing time, resulting in more errors, stress, and frustration. Our qualitative analysis suggests a spectrum from health to risk and provides an outline of organizational approaches to human factors and technology in health care. Business, occupational health, human factors, and well-being literature have not studied technology fatigue and burnout; however, their findings help contextualize technology-based fatigue to suggest guidelines. Few studies were found to contextually evaluate differences according to health professions and practice contexts.

Conclusions

Health care systems need to evaluate the impact of technology in accordance with the Quadruple Aim to support providers’ well-being and prevent workload burden, fatigue, and burnout. Implementation and effectiveness approaches and a multilevel approach with objective measures for clinical, human factors, training, professional development, and administrative workflow are suggested. This requires institutional strategies and competencies to integrate health care quality, technology and well-being outcomes.

Classification of Electronic Health Record-Related Patient Safety Incidents: Development and Validation Study

Background

It is assumed that the implementation of health information technology introduces new vulnerabilities within a complex sociotechnical health care system, but no international consensus exists on a standardized format for enhancing the collection, analysis, and interpretation of technology-induced errors.

Objective

This study aims to develop a classification for patient safety incident reporting associated with the use of mature electronic health records (EHRs). It also aims to validate the classification by using a data set of incidents during a 6-month period immediately after the implementation of a new EHR system.

Methods

The starting point of the classification development was the Finnish Technology-Induced Error Risk Assessment Scale tool, based on research on commonly recognized error types. A multiprofessional research team used iterative tests on consensus building to develop a classification system. The final classification, with preliminary descriptions of classes, was validated by applying it to analyze EHR-related error incidents (n=428) during the implementation phase of a new EHR system and also to evaluate this classification’s characteristics and applicability for reporting incidents. Interrater agreement was applied.

Results

The number of EHR-related patient safety incidents during the implementation period (n=501) was five-fold when compared with the preimplementation period (n=82). The literature identified new error types that were added to the emerging classification. Error types were adapted iteratively after several test rounds to develop a classification for reporting patient safety incidents in the clinical use of a high-maturity EHR system. Of the 427 classified patient safety incidents, interface problems accounted for 96 (22.5%) incident reports, usability problems for 73 (17.1%), documentation problems for 60 (14.1%), and clinical workflow problems for 33 (7.7%). Altogether, 20.8% (89/427) of reports were related to medication section problems, and downtime problems were rare (n=8). During the classification work, 14.8% (74/501) of reports of the original sample were rejected because of insufficient information, even though the reports were deemed to be related to EHRs. The interrater agreement during the blinded review was 97.7%.

Conclusions

This study presents a new classification for EHR-related patient safety incidents applicable to mature EHRs. The number of EHR-related patient safety incidents during the implementation period may reflect patient safety challenges during the implementation of a new type of high-maturity EHR system. The results indicate that the types of errors previously identified in the literature change with the EHR development cycle.

The influence of a Sprint optimization and training intervention on time spent in the electronic health record (EHR)

Objective

We report the influence of Sprint electronic health record (EHR) training and optimization on clinician time spent in the EHR.

Materials and Methods

We studied the Sprint process in one academic internal medicine practice with 26 providers. Program offerings included individualized training sessions, and the ability to clean up, fix, or build new EHR tools during the 2-week intervention. EHR usage log data were available for 24 clinicians, and the average clinical full-time equivalent was 0.44. We used a quasi-experimental study design with an interrupted time series specification, with 8 months of pre- and 12 months of post-intervention data to evaluate clinician time spent in the EHR.

Results

We discovered a greater than 6 h per day reduction in clinician time spent in the EHR at the clinic level. At the individual clinician level, we demonstrated a time savings of 20 min per clinician per day among those who attended at least 2 training sessions.

Discussion

We can promote EHR time savings for clinicians who engage in robust EHR training and optimization programs. To date, programs have shown a positive correlation between participation and subjective EHR satisfaction, efficiency, or time saved. The impact of EHR training and optimization on objective time savings remains elusive. By measuring time in the EHR, this study contributes to an ongoing conversation about the resources and programs needed to decrease clinician EHR time.

Conclusions

We have demonstrated that Sprint is associated with time savings for clinicians for up to 6 months. We suggest that an investment in EHR optimization and training can pay dividends in clinician time saved.

The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout

OBJECTIVE

To conduct a systematic review identifying workplace interventions that mitigate physician burnout related to the digital environment including health information technologies (eg, electronic health records) and decision support systems) with or without the application of advanced analytics for clinical care.

MATERIALS AND METHODS

Literature published from January 1, 2007 to June 3, 2020 was systematically reviewed from multiple databases and hand searches. Subgroup analysis identified relevant physician burnout studies with interventions examining digital tool burden, related workflow inefficiencies, and measures of burnout, stress, or job satisfaction in all practice settings.

RESULTS

The search strategy identified 4806 citations of which 81 met inclusion criteria. Thirty-eight studies reported interventions to decrease digital tool burden. Sixty-eight percent of these studies reported improvement in burnout and/or its proxy measures. Burnout was decreased by interventions that optimized technologies (primarily electronic health records), provided training, reduced documentation and task time, expanded the care team, and leveraged quality improvement processes in workflows.

DISCUSSION

The contribution of digital tools to physician burnout can be mitigated by careful examination of usability, introducing technologies to save or optimize time, and applying quality improvement to workflows.

CONCLUSION

Physician burnout is not reduced by technology implementation but can be mitigated by technology and workflow optimization, training, team expansion, and careful consideration of factors affecting burnout, including specialty, practice setting, regulatory pressures, and how physicians spend their time.

Assessing hospital electronic health record vendor performance across publicly reported quality measures

OBJECTIVE

Little is known regarding variation among electronic health record (EHR) vendors in quality performance. This issue is compounded by selection effects in which high-quality hospitals coalesce to a subset of market leading vendors. We measured hospital performance, stratified by EHR vendor, across 4 quality metrics.

MATERIALS AND METHODS

We used data on 1272 hospitals in 2018 across 4 quality measures: Leapfrog Computerized Provider Order Entry/EHR Evaluation, Centers for Medicare and Medicaid Services Hospital Compare Star Ratings, Hospital-Acquired Condition (HAC) score, and Hospital Readmission Reduction Program (HRRP) ratio. We examined score distributions and used multivariable regression to evaluate the association between vendor and score, recovering partial R2 to assess the proportion of quality variation explained by vendor.

RESULTS

We found significant variation across and within EHR vendors. The largest vendor, vendor A, had the highest mean score on the Leapfrog Computerized Provider Order Entry/EHR Evaluation and HRRP ratio, vendor G had the highest Hospital Compare score, and vendor F had the highest HAC score. In adjusted models, no vendor was significantly associated with higher performance on more than 2 measures. EHR vendor explained between 1.2% (HAC) and 7.6 (HRRP) of the variation in quality performance.

DISCUSSION

No EHR vendor was associated with higher quality across all measures, and the 2 largest vendors were not associated with the highest scores. Only a small fraction of quality variation was explained by EHR vendor choice.

CONCLUSIONS

Top performance on quality measures can be achieved with any EHR vendor; much of quality performance is driven by the hospital and how it uses the EHR.

The association between perceived electronic health record usability and professional burnout among US nurses

OBJECTIVES

To measure nurse-perceived electronic health records (EHR) usability with a standardized metric of technology usability and evaluate its association with professional burnout.

METHODS

A cross-sectional survey of a random sample of US nurses was conducted in November 2017. EHR usability was measured with the System Usability Scale (SUS; range 0-100) and burnout with the Maslach Burnout Inventory.

RESULTS

Among the 86 858 nurses who were invited, 8638 (9.9%) completed the survey. The mean nurse-rated EHR SUS score was 57.6 (SD 16.3). A score of 57.6 is in the bottom 24% of scores across previous studies and categorized with a grade of "F." On multivariable analysis adjusting for age, gender, race, ethnicity, relationship status, children, highest nursing-related degree, mean hours worked per week, years of nursing experience, advanced certification, and practice setting, nurse-rated EHR usability was associated with burnout with each 1 point more favorable SUS score and associated with a 2% lower odds of burnout (OR 0.98; 95% CI, 0.97-0.99; P < .001).

CONCLUSIONS

Nurses rated the usability of their current EHR in the low marginal range of acceptability using a standardized metric of technology usability. EHR usability and the odds of burnout were strongly associated with a dose-response relationship.

Operation notes in orthopaedics: Beliefs and practices in a developing country

Maintaining accurate and complete operation notes is an essential metric of the quality of surgical care. While developed countries have implemented electronic health records to improve documentation, financial constraints prevent this realisation in the Caribbean. Somewhat paradoxically, previous studies in this area have focussed on 'process' while neglecting the key role of the surgeon. We conducted a 25-item Knowledge, Attitudes and Practices survey of orthopaedic doctors to identify any culturally unique health-related behaviours. Our results indicate that while most doctors understand the importance of operation notes, many are unaware of international note-keeping recommendations. Legibility was identified as a significant issue by 92% of doctors. A disturbing and previously unreported finding from the study revealed that 72% of surgeons would occasionally write the operation notes, although they were not scrubbed in for the procedure. We suggest that future studies examine this peculiar behaviour in greater detail.

Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis

OBJECTIVE

To derive 7 proposed core electronic health record (EHR) use metrics across 2 healthcare systems with different EHR vendor product installations and examine factors associated with EHR time.

MATERIALS AND METHODS

A cross-sectional analysis of ambulatory physicians EHR use across the Yale-New Haven and MedStar Health systems was performed for August 2019 using 7 proposed core EHR use metrics normalized to 8 hours of patient scheduled time.

RESULTS

Five out of 7 proposed metrics could be measured in a population of nonteaching, exclusively ambulatory physicians. Among 573 physicians (Yale-New Haven N = 290, MedStar N = 283) in the analysis, median EHR-Time8 was 5.23 hours. Gender, additional clinical hours scheduled, and certain medical specialties were associated with EHR-Time8 after adjusting for age and health system on multivariable analysis. For every 8 hours of scheduled patient time, the model predicted these differences in EHR time (P < .001, unless otherwise indicated): female physicians +0.58 hours; each additional clinical hour scheduled per month -0.01 hours; practicing cardiology -1.30 hours; medical subspecialties -0.89 hours (except gastroenterology, P = .002); neurology/psychiatry -2.60 hours; obstetrics/gynecology -1.88 hours; pediatrics -1.05 hours (P = .001); sports/physical medicine and rehabilitation -3.25 hours; and surgical specialties -3.65 hours.

CONCLUSIONS

For every 8 hours of scheduled patient time, ambulatory physicians spend more than 5 hours on the EHR. Physician gender, specialty, and number of clinical hours practicing are associated with differences in EHR time. While audit logs remain a powerful tool for understanding physician EHR use, additional transparency, granularity, and standardization of vendor-derived EHR use data definitions are still necessary to standardize EHR use measurement.

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

BACKGROUND

New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout.

OBJECTIVE

This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands.

METHODS

This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics.

RESULTS

Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics.

CONCLUSIONS

This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.

Interest in technology among medical students early in their clinical experience

BACKGROUND

The world is in the midst of the "digital" revolution characterized by the ascendency of computerization, information systems and artificial intelligence with an emphasis on innovation and creativity. This revolution has affected current medical practice and promises to significantly impact it in the future. This requires physician's understanding and participation in adopting such technology. This study aimed to explore the role technology plays in the future career plans of medical students.

METHODS

A questionnaire examining selection criteria for medical specialty choice, criteria for choosing a post-residency job and demographic data was completed by a convenience sample of 5th-year Israeli medical students.

RESULTS

Two-hundred forty-two students (51 % men) completed the questionnaire, an 84 % response rate. Only a third (35 %) rated the specialty selection criterion "provides mechanical/ technological challenges" as important, while only 7% considered as important that a specialty requires skills in computer science. Few students were interested in post-residency positions requiring much technological knowledge (25 %) and requiring much skill with computerized information systems (13 %). Male students were significantly more interested than females in such positions and these students more often reported that they were considering careers in surgery and its subspecialties. This surgical bent was confirmed by the 42 % of students interested in post-residency positions that include time in the operating room having more interest in positions requiring much technological knowledge than the students not interested in operating room time.

CONCLUSIONS

This preliminary study demonstrated that as a group the students' expressed relatively little interest in medical specialties and post-residency positions involving technological challenges and knowledge of information (computer) science. Yet, the sub-group interested in the surgical specialties had such interests. These findings were perplexing since the students belong to Generations Y and Z who are steeped in the use of smartphones and social media. Therefore, we failed to support our hypothesis that Generation Y and Z students would be attracted to specialties and positions that provide them with technological challenges. Furthermore, medical educators need to explore this apparent lack of interest in technology in order to insure that the future physician workforce is ready to face future "digital" challenges.

HITECH to 21st century cures: clinician burden and evolving health IT policy

Adoption and use of health information technology (IT) was identified as 1 solution to quality and safety issues that permeate the United States health care system. Implementation of health IT has accelerated across the US over the past decade, in part, as a result of legislative and regulatory requirements and incentives. However, adoption of these systems has burdened clinician users due to design, configuration, and implementation issues, resulting in poor usability, challenges to workflow integration, and cumbersome documentation requirements. The path to alleviating these clinician burdens requires a clear understanding of the intent and evolution of pertinent regulations and the context in which they exist. This article reviews the Office of the National Coordinator of Health Information Technology's efforts, documents current regulatory actions, and discusses additional policy opportunities that can further improve clinician satisfaction and effectiveness in providing health care with health IT that is an asset, not an obstacle.

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics

OBJECTIVE

The objective of the study was to highlight and analyze the outcomes of software configuration requests received from Sprint, a comprehensive, clinic-centered electronic health record (EHR) optimization program.

METHODS

A retrospective review of 1,254 Sprint workbook requests identified (1) the responsible EHR team, (2) the clinical efficiency gained from the request, and (3) the EHR intervention conducted.

RESULTS

Requests were received from 407 clinicians and 538 staff over 31 weeks of Sprint. Sixty-nine percent of the requests were completed during the Sprint. Of all requests, 25% required net new build, 73% required technical investigation and/or solutions, and 2% of the requests were escalated to the vendor. The clinical specialty groups requested a higher percentage of items that earned them clinical review (16 vs. 10%) and documentation (29 vs. 23%) efficiencies compared with their primary care colleagues who requested slightly more order modifications (22 vs. 20%). Clinical efficiencies most commonly associated with workbook requests included documentation (28%), ordering (20%), in basket (17%), and clinical review (15%). Sprint user requests evaluated by ambulatory, hardware, security, and training teams comprised 80% of reported items.

DISCUSSION

Sprint requests were categorized as clean-up, break-fix, workflow investigation, or new build. On-site collaboration with clinical care teams permitted consensus-building, drove vetting, and iteration of EHR build, and led to goal-driven, usable workflows and EHR products.

CONCLUSION

This program evaluation demonstrates the process by which optimization can occur and the products that result when we adhere to optimization principles in health care organizations.

Perceived Electronic Health Record Usability as a Predictor of Task Load and Burnout Among US Physicians: Mediation Analysis

BACKGROUND

Electronic health record (EHR) usability and physician task load both contribute to physician professional burnout. The association between perceived EHR usability and workload has not previously been studied at a national level. Better understanding these interactions could give further information as to the drivers of extraneous task load.

OBJECTIVE

This study aimed to determine the relationship between physician-perceived EHR usability and workload by specialty and evaluate for associations with professional burnout.

METHODS

A secondary analysis of a cross-sectional survey of US physicians from all specialties was conducted from October 2017 to March 2018. Among the 1250 physicians invited to respond to the subsurvey analyzed here, 848 (67.8%) completed it. EHR usability was assessed with the System Usability Scale (SUS; range: 0-100). Provider task load (PTL) was assessed using the mental demand, physical demand, temporal demand, and effort required subscales of the National Aeronautics and Space Administration Task Load Index (range: 0-400). Burnout was measured using the Maslach Burnout Inventory.

RESULTS

The mean scores were 46.1 (SD 22.1) for SUS and 262.5 (SD 71.7) for PTL. On multivariable analysis adjusting for age, gender, relationship status, medical specialty, practice setting, hours worked per week, and number of nights on call per week, physician-rated EHR usability was associated with PTL, with each 1-point increase in SUS score (indicating more favorable) associated with a 0.57-point decrease in PTL score (P<.001). On mediation analysis, higher SUS score was associated with lower PTL score, which was associated with lower odds of burnout.

CONCLUSIONS

A strong association was observed between EHR usability and workload among US physicians, with more favorable usability associated with less workload. Both outcomes were associated with the odds of burnout, with task load acting as a mediator between EHR usability and burnout. Improving EHR usability while decreasing task load has the potential to allow practicing physicians more working memory for medical decision making and patient communication.

The Bugs In the Virtual Clinic: Confronting Telemedicine’s Challenges Through Empathy and Support (Preprint)

Although telemedicine has been an important conduit for clinical care during the COVID-19 pandemic, not all patients have been able to meaningfully participate in this mode of health care provision. Challenges with accessing telemedicine using consumer technology can interfere with the ability of patients and clinicians to meaningfully connect and lead to significant investments in time by clinicians and their staff. In this narrative case, we identify issues related to patients’ use of technology, make comparisons between telehealth adoption and the deployment of electronic health records, and propose that building intuitive and supported digital care experiences for patients is required to make virtual care sustainable.

A framework for patient-centered telemedicine: Application and lessons learned from vulnerable populations

Virtual technologies can facilitate clinical monitoring, clinician-patient interactions, and enhance patient-centered approaches to healthcare delivery. Telemedicine, two-way communication between a healthcare provider and a patient not in the same physical location, emphasizes patient preference and convenience by substituting the transportation of patients with information transfer. We present a framework for implementation of a comprehensive, dynamic, patient-centered telemedicine network deployed in 12 opioid treatment programs (OTP) located throughout New York State (NYS). The program aims to effectively manage hepatitis C virus (HCV) infection via telemedicine with co-administration of HCV and substance use medications. We have found that the Sociotechnical System model with emphasis on patient-centered factors provides a framework for telemedicine deployment and implementation to a vulnerable population. The issue of interoperability between the telemedicine platform and the electronic health record (EHR) system as well as clinical information retrieval for medical decision-making are challenges with implementation of a comprehensive, dynamic telemedicine system. Targeting telemedicine to a vulnerable population requires additional consideration of trust in the security and confidentiality of the telemedicine system. Our contribution is the valuable lessons learned from implementing a comprehensive, dynamic, patient-centered telemedicine system among an OTP network throughout NYS as applied to a vulnerable population that can be generalized to other difficult-to-reach populations.

How Physicians Spend Their Work Time: an Ecological Momentary Assessment

BACKGROUND

Little is known about how physicians spend their work time.

OBJECTIVE

To determine how physicians in outpatient care spend their time at work, using an innovative method: ecological momentary assessment (EMA).

DESIGN

Physician activity was measured via EMA, using a smartphone app.

PARTICIPANTS

Twenty-eight practices across 16 US states. Sixty-one physicians: general internal medicine, family medicine, non-interventional cardiology, orthopedics.

MAIN MEASURES

Proportions of time spent on 14 activities within 6 broad categories of work: direct patient care (including both face-to-face care and other patient care-related activities), electronic health record (EHR) input, administration, teaching/supervising, personal time, and other.

KEY RESULTS

After excluding personal time, physicians spent 66.5% of their time on direct patient care (23.6% multitasking with use of the EHR and 42.9% without the EHR), 20.7% on EHR input alone, 7.7% on administrative activities, and 5.0% on other activities (0.6% using the EHR). In total, physicians spent 44.9% of their time on the EHR.

LIMITATIONS

Unable to measure time spent at home on the EHR or other work tasks; participating physicians were not a random sample of US physicians.

CONCLUSIONS

The efficiency of highly trained professionals spending only two-thirds of their time on direct patient care may be questioned. EHR use continues to account for a large proportion of physician time. Further attempts should be made to redesign both EHRs and physician work processes.

Human-Computer Interaction, Ethics, and Biomedical Informatics

Objectives : To provide an overview of recent work at the intersection of Biomedical Informatics, Human-Computer Interaction, and Ethics.

Methods : Search terms for Human-Computer Interaction, Biomedical Informatics, and Ethics were used to identify relevant papers published between 2017 and 2019.Relevant papers were identified through multiple methods, including database searches, manual reviews of citations, recent publications, and special collections, as well as through peer recommendations. Identified articles were reviewed and organized into broad themes.

Results : We identified relevant papers at the intersection of Biomedical Informatics, Human-Computer Interactions, and Ethics in over a dozen journals. The content of these papers was organized into three broad themes: ethical issues associated with systems in use, systems design, and responsible conduct of research.

Conclusions : The results of this overview demonstrate an active interest in exploring the ethical implications of Human-Computer Interaction concerns in Biomedical Informatics. Papers emphasizing ethical concerns associated with patient-facing tools, mobile devices, social media, privacy, inclusivity, and e-consent reflect the growing prominence of these topics in biomedical informatics research. New questions in these areas will likely continue to arise with the growth of precision medicine and citizen science.

Electronic Documentation in Pediatrics: The Rationale and Functionality Requirements

Clinical documentation is a fundamental component of the practice of medicine. It has significantly evolved over the past decade, largely because of the growth of health information technology and electronic health records. Although government agencies and other professional organizations have published position statements on the structure and use of electronic documentation, few have specifically addressed the documentation needs for the care of children. A policy statement on electronic documentation of clinical care by general pediatric and subspecialist providers by the American Academy of Pediatrics is needed. This statement provides insight on the unmet needs of key stakeholders to direct future research and development of the electronic media necessary to enhance the wellness of children and improve health care delivery. It also addresses the challenges and opportunities for efficient and effective clinical documentation in pediatrics.

Association of Electronic Health Record Use With Physician Fatigue and Efficiency

IMPORTANCE

The use of electronic health records (EHRs) is directly associated with physician burnout. An underlying factor associated with burnout may be EHR-related fatigue owing to insufficient user-centered interface design and suboptimal usability.

OBJECTIVE

To examine the association between EHR use and fatigue, as measured by pupillometry, and efficiency, as measured by mouse clicks, time, and number of EHR screens, among intensive care unit (ICU) physicians completing a simulation activity in a prominent EHR.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, simulation-based EHR usability assessment of a leading EHR system was conducted from March 20 to April 5, 2018, among 25 ICU physicians and physician trainees at a southeastern US academic medical center. Participants completed 4 simulation patient cases in the EHR that involved information retrieval and task execution while wearing eye-tracking glasses. Fatigue was quantified through continuous eye pupil data; EHR efficiency was characterized through task completion time, mouse clicks, and EHR screen visits. Data were analyzed from June 1, 2018, to August 31, 2019.

MAIN OUTCOMES AND MEASURES

Primary outcomes were physician fatigue, measured by pupillometry (with lower scores indicating greater fatigue), and EHR efficiency, measured by task completion times, number of mouse clicks, and number of screens visited during EHR simulation.

RESULTS

The 25 ICU physicians (13 women; mean [SD] age, 32.1 [6.1] years) who completed a simulation exercise involving 4 patient cases (mean [SD] completion time, 34:43 [11:41] minutes) recorded a total of 14 hours and 27 minutes of EHR activity. All physician participants experienced physiological fatigue at least once during the exercise, and 20 of 25 participants (80%) experienced physiological fatigue within the first 22 minutes of EHR use. Physicians who experienced EHR-related fatigue in 1 patient case were less efficient in the subsequent patient case, as demonstrated by longer task completion times (r = -0.521; P = .007), higher numbers of mouse clicks (r = -0.562; P = .003), and more EHR screen visits (r = -0.486; P = .01).

CONCLUSIONS AND RELEVANCE

This study reports high rates of fatigue among ICU physicians during short periods of EHR simulation, which were negatively associated with EHR efficiency and included a carryover association across patient cases. More research is needed to investigate the underlying causes of EHR-associated fatigue, to support user-centered EHR design, and to inform safe EHR use policies and guidelines.

Wellness for the Future: Cultural and Systems-based Challenges and Solutions

The goal of the 2019 Society for Academic Emergency Medicine Consensus Conference was to explore the current cultural and systemic issues in emergency medicine that impact the individual well-being of every emergency physician and to make recommendations for future study. Burnout is epidemic in emergency medicine. Physician wellness is required to enhance patient clinical outcomes as well as to ensure professional satisfaction and longevity. For conference preparation, a consensus steering committee was created, and a decision was made to use the groundbreaking model of the National Academy of Medicine's "Factors Affecting Clinician Well-Being and Resilience" to further identify areas of needed study. On May 14, 2019, the Wellness Consensus Conference was attended by over 50 faculty physicians from across the United States. These attendees discussed key concepts and prior research presented by content experts. Groups of participants engaged in crowdsourcing techniques to consolidate ideas derived from those discussions. These consensus concepts were recorded and are presented within this article. A repetitive theme noted at the conference was the overwhelming effect of the system and organization factors on individual physician well-being. The concept of ongoing assessment of professional fulfillment over the life span of the emergency physician was felt to be crucial in guiding wellness and resilience interventions in a timely manner. Examining ways to enable physicians to flourish rather than experience burnout are strong future directions for study.

The Association Between Perceived Electronic Health Record Usability and Professional Burnout Among US Physicians

OBJECTIVE

To describe and benchmark physician-perceived electronic health record (EHR) usability as defined by a standardized metric of technology usability and evaluate the association with professional burnout among physicians.

PARTICIPANTS AND METHODS

This cross-sectional survey of US physicians from all specialty disciplines was conducted between October 12, 2017, and March 15, 2018, using the American Medical Association Physician Masterfile. Among the 30,456 invited physicians, 5197 (17.1%) completed surveys. A random 25% (n=1250) of respondents in the primary survey received a subsurvey evaluating EHR usability, and 870 (69.6%) completed it. EHR usability was assessed using the System Usability Scale (SUS; range 0-100). SUS scores were normalized to percentile rankings across more than 1300 previous studies from other industries. Burnout was measured using the Maslach Burnout Inventory.

RESULTS

Mean ± SD SUS score was 45.9±21.9. A score of 45.9 is in the bottom 9% of scores across previous studies and categorized in the "not acceptable" range or with a grade of F. On multivariate analysis adjusting for age, sex, medical specialty, practice setting, hours worked, and number of nights on call weekly, physician-rated EHR usability was independently associated with the odds of burnout with each 1 point more favorable SUS score associated with a 3% lower odds of burnout (odds ratio, 0.97; 95% CI, 0.97-0.98; P<.001).

CONCLUSION

The usability of current EHR systems received a grade of F by physician users when evaluated using a standardized metric of technology usability. A strong dose-response relationship between EHR usability and the odds of burnout was observed.

Experiences of Health Care Providers Using a Mobile Medical Photography Application

OBJECTIVE

To understand the ways in which providers use a mobile photography application integrated with the electronic health record (EHR) to facilitate clinical care, and the process outcomes that result from the application's use.

METHODS

An e-mail survey was sent on November 13, 2017, to 1,463 health care providers at Mayo Clinic who had used an internally developed, EHR-integrated medical photography application.

RESULTS

The survey was completed by 712 (49%) providers. Providers reported using the application on approximately 1 in 7 days spent in clinical practice. Median provider satisfaction with the use of the application (0-100 scale; higher numbers indicate favorable response) was 94 (interquartile range [IQR]: 74-100). Although the use for store-and-forward telemedicine was reported (22% often or frequently used the application to send photographs to a specialist for advice), the most common use was for clinical documentation (65% often or frequently used the application to supplement text-based notes with photographs, and 71% often or frequently used the application to take photographs for reference by a colleague who may see the patient in the future). Of the health care providers, 36% indicated that the application's use often or frequently expedited treatment.

DISCUSSION

Health care providers reported using a mobile point-of-care medical photography application regularly in clinical practice and were generally satisfied with the application.

CONCLUSION

Point-of-care medical photography using a secure mobile, EHR-integrated application has potential to become a new standard of care for clinical documentation and may facilitate continuity across the continuum of care with multiple providers who see a patient.

How well is the electronic health record supporting the clinical tasks of hospital physicians? A survey of physicians at three Norwegian hospitals

Background

The electronic health record is expected to improve the quality and efficiency of health care. Many novel functionalities have been introduced in order to improve medical decision making and communication between health care personnel. There is however limited evidence on whether these new functionalities are useful. The aim of our study was to investigate how well the electronic health record system supports physicians in performing basic clinical tasks.

Methods

Physicians of three prominent Norwegian hospitals participated in the survey. They were asked, in an online questionnaire, how well the hospital’s electronic health record system DIPS supported 49 clinical tasks as well as how satisfied they were with the system in general, including the technical performance. Two hundred and eight of 402 physicians (52%) submitted a completely answered questionnaire.

Results

Seventy-two percent of the physicians had their work interrupted or delayed because the electronic health record hangs or crashes at least once a week, while 22% had experienced this problem daily. Fifty-three percent of the physicians indicated that the electronic health record is cumbersome to use and adds to their workload. The majority of physicians were satisfied with managing tests, e.g., requesting laboratory tests, reading test results and managing radiological investigations and electrocardiograms. Physicians were less satisfied with managing referrals. There was high satisfaction with some of the decision support functionalities available for prescribing drugs. This includes drug interaction alerts and drug allergy warnings, which are displayed automatically. However, physicians were less satisfied with other aspects of prescribing drugs, including getting an overview of the ongoing drug therapy.

Conclusions

In the survey physicians asked for improvements of certain electronic health record functionalities like medication, clinical workflow support including planning and better overviews. In addition, there is apparently a need to focus on system stability, number of logins, reliability and better instructions on available electronic health record features. Considerable development is needed in current electronic health record systems to improve usefulness and satisfaction.