The Impact of Physician EHR Usage on Patient Satisfaction

Measuring Documentation Burden in Healthcare

BACKGROUND

The enactment of the Health Information Technology for Economic and Clinical Health Act and the wide adoption of electronic health record (EHR) systems have ushered in increasing documentation burden, frequently cited as a key factor affecting the work experience of healthcare professionals and a contributor to burnout. This systematic review aims to identify and characterize measures of documentation burden.

METHODS

We integrated discussions with Key Informants and a comprehensive search of the literature, including MEDLINE, Embase, Scopus, and gray literature published between 2010 and 2023. Data were narratively and thematically synthesized.

RESULTS

We identified 135 articles about measuring documentation burden. We classified measures into 11 categories: overall time spent in EHR, activities related to clinical documentation, inbox management, time spent in clinical review, time spent in orders, work outside work/after hours, administrative tasks (billing and insurance related), fragmentation of workflow, measures of efficiency, EHR activity rate, and usability. The most common source of data for most measures was EHR usage logs. Direct tracking such as through time-motion analysis was fairly uncommon. Measures were developed and applied across various settings and populations, with physicians and nurses in the USA being the most frequently represented healthcare professionals. Evidence of validity of these measures was limited and incomplete. Data on the appropriateness of measures in terms of scalability, feasibility, or equity across various contexts were limited. The physician perspective was the most robustly captured and prominently focused on increased stress and burnout.

DISCUSSION

Numerous measures for documentation burden are available and have been tested in a variety of settings and contexts. However, most are one-dimensional, do not capture various domains of this construct, and lack robust validity evidence. This report serves as a call to action highlighting an urgent need for measure development that represents diverse clinical contexts and support future interventions.

Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future

Electronic health record (EHR) systems have developed over time in parallel with general advancements in mainstream technology. As artificially intelligent (AI) systems rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful technology. Particularly appealing is how AI may aid in improving healthcare efficiency with note-writing automation. This literature review explores the current state of EHR technologies in healthcare, specifically focusing on possibilities for addressing EHR challenges through the automation of dictation and note-writing processes with AI integration. This review offers a broad understanding of existing capabilities and potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, and AI-assisted procedure note dictation. The primary objective is to provide researchers with valuable insights, enabling them to generate new technologies and advancements within the healthcare landscape. By exploring the benefits, challenges, and future of AI integration, this review encourages the development of innovative solutions, with the goal of enhancing patient care and healthcare delivery efficiency.

Association of physician burnout with perceived EHR work stress and potentially actionable factors

OBJECTIVE

Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout's association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout.

MATERIALS AND METHODS

Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors.

RESULTS

Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07-1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04-1.47), not feeling valued (OR, 3.38; 95% CI, 1.69-7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87-4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63-4.12), and sleeping for <6 h/night (OR, 1.73; 95% CI, 1.12-2.67).

DISCUSSION

Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support.

CONCLUSION

A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being.

Putting ChatGPT's Medical Advice to the (Turing) Test: Survey Study

BACKGROUND

Chatbots are being piloted to draft responses to patient questions, but patients' ability to distinguish between provider and chatbot responses and patients' trust in chatbots' functions are not well established.

OBJECTIVE

This study aimed to assess the feasibility of using ChatGPT (Chat Generative Pre-trained Transformer) or a similar artificial intelligence-based chatbot for patient-provider communication.

METHODS

A survey study was conducted in January 2023. Ten representative, nonadministrative patient-provider interactions were extracted from the electronic health record. Patients' questions were entered into ChatGPT with a request for the chatbot to respond using approximately the same word count as the human provider's response. In the survey, each patient question was followed by a provider- or ChatGPT-generated response. Participants were informed that 5 responses were provider generated and 5 were chatbot generated. Participants were asked-and incentivized financially-to correctly identify the response source. Participants were also asked about their trust in chatbots' functions in patient-provider communication, using a Likert scale from 1-5.

RESULTS

A US-representative sample of 430 study participants aged 18 and older were recruited on Prolific, a crowdsourcing platform for academic studies. In all, 426 participants filled out the full survey. After removing participants who spent less than 3 minutes on the survey, 392 respondents remained. Overall, 53.3% (209/392) of respondents analyzed were women, and the average age was 47.1 (range 18-91) years. The correct classification of responses ranged between 49% (192/392) to 85.7% (336/392) for different questions. On average, chatbot responses were identified correctly in 65.5% (1284/1960) of the cases, and human provider responses were identified correctly in 65.1% (1276/1960) of the cases. On average, responses toward patients' trust in chatbots' functions were weakly positive (mean Likert score 3.4 out of 5), with lower trust as the health-related complexity of the task in the questions increased.

CONCLUSIONS

ChatGPT responses to patient questions were weakly distinguishable from provider responses. Laypeople appear to trust the use of chatbots to answer lower-risk health questions. It is important to continue studying patient-chatbot interaction as chatbots move from administrative to more clinical roles in health care.

Effect of digitization of medical case files on doctor patient relationship in an Out Patient Department setting of Northern India: A comparative study

Background: Digitization of health records and health delivery processes in health care settings may have an impact on the Patient-Physician communication, wait times, that affect the overall patient satisfaction with the health care services. Aim & Objective: We ascertained the effect of digitization of medical case files on the doctor patient relationship (DPR) domain of patient satisfaction at an urban primary health center in India. Settings and Design: Comparative, cross-sectional study in primary health centres. Methods and Material: The patient satisfaction was compared between the patients attending the Public Health Dispensary (PHD) that uses digitized medical case file system and a Civil Dispensary (CD) which follows the conventional paper based medical records, using a Patient Satisfaction Questionnaire (PSQ). Statistical analysis used: Univariate analysis was done by chi-square test and adjusted analysis was done by multiple linear regression. Results: Patient satisfaction in DPR was found to be same between the digitized medical case files based and conventional OPD (p=0.453). Significantly higher overall patient satisfaction was reported in the conventional paper based OPD than the digitized OPD (p<0.001). Conclusions: Patient satisfaction towards the doctor-patient relationship (DPR) was same between paper based OPD and the digitized medical case files based OPD.

Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures

OBJECTIVE

The aim of this article is to compare the aims, measures, methods, limitations, and scope of studies that employ vendor-derived and investigator-derived measures of electronic health record (EHR) use, and to assess measure consistency across studies.

MATERIALS AND METHODS

We searched PubMed for articles published between July 2019 and December 2021 that employed measures of EHR use derived from EHR event logs. We coded the aims, measures, methods, limitations, and scope of each article and compared articles employing vendor-derived and investigator-derived measures.

RESULTS

One hundred and two articles met inclusion criteria; 40 employed vendor-derived measures, 61 employed investigator-derived measures, and 1 employed both. Studies employing vendor-derived measures were more likely than those employing investigator-derived measures to observe EHR use only in ambulatory settings (83% vs 48%, P = .002) and only by physicians or advanced practice providers (100% vs 54% of studies, P < .001). Studies employing vendor-derived measures were also more likely to measure durations of EHR use (P < .001 for 6 different activities), but definitions of measures such as time outside scheduled hours varied widely. Eight articles reported measure validation. The reported limitations of vendor-derived measures included measure transparency and availability for certain clinical settings and roles.

DISCUSSION

Vendor-derived measures are increasingly used to study EHR use, but only by certain clinical roles. Although poorly validated and variously defined, both vendor- and investigator-derived measures of EHR time are widely reported.

CONCLUSION

The number of studies using event logs to observe EHR use continues to grow, but with inconsistent measure definitions and significant differences between studies that employ vendor-derived and investigator-derived measures.

Effects of the electronic health record on job satisfaction of academic pediatric faculty

OBJECTIVE(S)

To evaluate the association of Electronic Health Record (EHR) skills and available support with job satisfaction for pediatric faculty at an academic institution. To identify key opportunities for improvement.

STUDY DESIGN

Cross-sectional study of pediatric academic faculty physicians using a REDCap survey to inquire about faculty EHR skills, support services, and associations between EHR workflow and job satisfaction. Results were analyzed using bivariate testing.

RESULTS

The majority of respondents (n = 127, response rate 37%), rated the effect of EHR workflow on job satisfaction as neutral (36%) or negative (44%). Users with more EHR skills were more likely to indicate a positive effect of the EHR on overall job satisfaction (p = 0.019). 7% of respondents had none of the EHR skills queried and few felt that initial training (35%) or the Information Technology department (26%) were useful in acquiring skills. Two similar divisions, one with three and one without Physician Builders (providers with specialized training in EHR personalization), had statistically significant different EHR satisfaction ratings (p = 0.0012).

CONCLUSIONS

Most faculty indicated a negative/neutral effect of the EHR on their overall job satisfaction. Users who indicated more EHR skills had a higher satisfaction rating. Existing training and support were not helpful to users. The division with the most Physician Builders ranked highest in satisfaction. We speculate that 1) adding EHR skills could increase overall job satisfaction and 2) adding Physician Builder resources could increase skills and satisfaction.

Virtuosic craft or clerical labour: the rise of the electronic health record and challenges to physicians' professional identity (1950-2022)

The electronic health record (EHR) is a focus of contentious debate, having become as essential to contemporary clinical practice as it is polarising. Debates about the EHR raise questions about physicians' professional identity, the nature of clinical work, evolution of the patient/practitioner relationship, and narratives of technological optimism and pessimism. The metaphors by which clinicians stake our identities-are we historians, detectives, educators, technicians, or something else?-animate the history of the early computer-based medical record in the mid-to-late twentieth-century USA. Proponents and detractors were equally interested in what the EHR revealed about clinician identity, and how it might fundamentally reshape it. This paper follows key moments in the history of the early computer-based patient record from the late 1950s to the EHR of the present day. In linking physician identity development, clinical epistemological structures, and the rise of the computer-based medical record in the USA in the mid-to-late twentieth century, we ask why the EHR is such a polarising entity in contemporary medicine, and situate clinician/EHR tensions in a longer history of aspirational physician identity and a kind of technological optimism that soon gave way to pessimism surrounding computer-based clinical work.

Electronic Health Record Work Demands for Gastroenterology and Hepatology Providers: A Prospective Use Analysis and Survey Study

BACKGROUND AND AIMS

There is a paucity of research on the use of the electronic health record (EHR) by gastroenterology and hepatology providers and its effect on work-life balance. Our aim was to study the after-hour EHR work completed among providers within a multispecialty academic practice.

METHODS

Time spent completing EHR tasks during evening hours (7p-7a) and days off was prospectively recorded for 35 providers over six consecutive months at a single center. Type and time of EHR tasks completed were compared based on subspecialty, academic degree, academic track category, identified gender, and number of weekly assigned clinical days worked. Prior to the data collection, providers filled out a survey regarding EHR use, work hours, and work-life balance.

RESULTS

All providers used EHR during evening hours and during days off. The total mean after-hours time spent completing EHR tasks was 18.4 m (± 13.0) per day and 45.0 m (± 25.8) during days off. There was significant variation in the daily mean after-hours time spent completing EHR tasks among subspecialties, range 45.3 m (± 27.1) (advanced endoscopy)-28.7 m (± 22.7) (hepatology), and among providers who work clinically > 7.5 days per week versus those who do not, 42.1 m (± 25.7) vs 30.0 m (± 14.0). The most common after-hours EHR task was note completion. 83% providers reported being unable to complete EHR tasks during allotted workday time and 87% report that EHR tasks interfered with family life; 74% with social life.

CONCLUSION

Gastroenterology and hepatology providers spend a significant amount of after-hour time completing EHR tasks which is perceived to interfere with family/social life.

The Value of Electronic Health Records Since the Health Information Technology for Economic and Clinical Health Act: Systematic Review

Background

Electronic health records (EHRs) are the electronic records of patient health information created during ≥1 encounter in any health care setting. The Health Information Technology Act of 2009 has been a major driver of the adoption and implementation of EHRs in the United States. Given that the adoption of EHRs is a complex and expensive investment, a return on this investment is expected.

Objective

This literature review aims to focus on how the value of EHRs as an intervention is defined in relation to the elaboration of value into 2 different value outcome categories, financial and clinical outcomes, and to understand how EHRs contribute to these 2 value outcome categories.

Methods

This literature review was conducted using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The initial search of key terms, EHRs, values, financial outcomes, and clinical outcomes in 3 different databases yielded 971 articles, of which, after removing 410 (42.2%) duplicates, 561 (57.8%) were incorporated in the title and abstract screening. During the title and abstract screening phase, articles were excluded from further review phases if they met any of the following criteria: not relevant to the outcomes of interest, not relevant to EHRs, nonempirical, and non–peer reviewed. After the application of the exclusion criteria, 80 studies remained for a full-text review. After evaluating the full text of the residual 80 studies, 26 (33%) studies were excluded as they did not address the impact of EHR adoption on the outcomes of interest. Furthermore, 4 additional studies were discovered through manual reference searches and were added to the total, resulting in 58 studies for analysis. A qualitative analysis tool, ATLAS.ti. (version 8.2), was used to categorize and code the final 58 studies.

Results

The findings from the literature review indicated a combination of positive and negative impacts of EHRs on financial and clinical outcomes. Of the 58 studies surveyed for this review of the literature, 5 (9%) reported on the intersection of financial and clinical outcomes. To investigate this intersection further, the category “Value–Intersection of Financial and Clinical Outcomes” was generated. Approximately 80% (4/5) of these studies specified a positive association between EHR adoption and financial and clinical outcomes.

Conclusions

This review of the literature reports on the individual and collective value of EHRs from a financial and clinical outcomes perspective. The collective perspective examined the intersection of financial and clinical outcomes, suggesting a reversal of the current understanding of how IT investments could generate improvements in productivity, and prompted a new question to be asked about whether an increase in productivity could potentially lead to more IT investments.

Evaluating the Impact of a Point-of-Care Cardiometabolic Clinical Decision Support Tool on Clinical Efficiency Using Electronic Health Record Audit Log Data: Algorithm Development and Validation

Background

Electronic health record (EHR) systems are becoming increasingly complicated, leading to concerns about rising physician burnout, particularly for primary care physicians (PCPs). Managing the most common cardiometabolic chronic conditions by PCPs during a limited clinical time with a patient is challenging.

Objective

This study aimed to evaluate a Cardiometabolic Sutter Health Advanced Reengineered Encounter (CM-SHARE), a web-based application to visualize key EHR data, on the EHR use efficiency.

Methods

We developed algorithms to identify key clinic workflow measures (eg, total encounter time, total physician time in the examination room, and physician EHR time in the examination room) using audit data, and we validated and calibrated the measures with time-motion data. We used a pre-post parallel design to identify propensity score–matched CM-SHARE users (cases), nonusers (controls), and nested-matched patients. Cardiometabolic encounters from matched case and control patients were used for the workflow evaluation. Outcome measures were compared between the cases and controls. We applied this approach separately to both the CM-SHARE pilot and spread phases.

Results

Time-motion observation was conducted on 101 primary care encounters for 9 PCPs in 3 clinics. There was little difference (<0.8 minutes) between the audit data–derived workflow measures and the time-motion observation. Two key unobservable times from audit data, physician entry into and exiting the examination room, were imputed based on time-motion studies. CM-SHARE was launched with 6 pilot PCPs in April 2016. During the prestudy period (April 1, 2015, to April 1, 2016), 870 control patients with 2845 encounters were matched with 870 case patients and encounters, and 727 case patients with 852 encounters were matched with 727 control patients and 3754 encounters in the poststudy period (June 1, 2016, to June 30, 2017). Total encounter time was slightly shorter (mean −2.7, SD 1.4 minutes, 95% CI −4.7 to −0.9; mean –1.6, SD 1.1 minutes, 95% CI −3.2 to −0.1) for cases than controls for both periods. CM-SHARE saves physicians approximately 2 minutes EHR time in the examination room (mean −2.0, SD 1.3, 95% CI −3.4 to −0.9) compared with prestudy period and poststudy period controls (mean −1.9, SD 0.9, 95% CI −3.8 to −0.5). In the spread phase, 48 CM-SHARE spread PCPs were matched with 84 control PCPs and 1272 cases with 3412 control patients, having 1119 and 4240 encounters, respectively. A significant reduction in total encounter time for the CM-SHARE group was observed for short appointments (≤20 minutes; 5.3-minute reduction on average) only. Total physician EHR time was significantly reduced for both longer and shorter appointments (17%-33% reductions).

Conclusions

Combining EHR audit log files and clinical information, our approach offers an innovative and scalable method and new measures that can be used to evaluate clinical EHR efficiency of digital tools used in clinical settings.

Perceived Value of the Electronic Health Record and Its Association with Physician Burnout

BACKGROUND

There is a common belief that seniority and gender are associated with clinicians' perceptions of the value of electronic health record (EHR) technology and the propensity for burnout. Insufficient evidence exists on the relationship between these variables.

OBJECTIVE

The aim of this study was to investigate how seniority/years of practice, gender, and screened burnout status are associated with opinions of EHR use on quality, cost, and efficiency of care.

METHODS

We surveyed ambulatory primary care and subspecialty clinicians at three different institutions to screen for burnout status and to measure their opinions (positive, none, negative, don't know) on how EHR technology has impacted three important attributes of health care: quality, cost, and efficiency of care. We used chi-square tests to analyze association between years of practice (≤10 years or 11+ years), gender, and screened burnout status and the reported attributes. We used a Bonferroni-corrected α = 0.0167 for significance to protect against type I error among multiple comparisons.

RESULTS

Overall, 281 clinicians responded from 640 that were surveyed with 44% overall response rate. There were no significant associations of years in practice (≤10 years or 11+ years) or gender (p > 0.0167 for both) with any of the health care attributes. Clinicians who screened burnout negative (n = 154, 55%) were more likely to indicate that EHR technology has a positive impact on both the quality (p = 0.0025) and efficiency (p = 0.0003) health care attributes compared with those who screened burnout positive (n = 127, 45%).

CONCLUSION

Burnout status is significantly associated with clinicians' perceived value of EHR technologies, while years of practice and gender are not. This contests the popular notion that junior clinicians view EHR technology more favorably than their more senior counterparts. Hence, burnout status may be an important factor associated with the overall value clinicians ascribe to EHR technologies.

Quantifying the Electronic Health Record Burden in Head and Neck Cancer Care

Background  Although the main task of health care providers is to provide patient care, studies show that increasing amounts of time are spent on documentation.

Objective  To quantify the time and effort spent on the electronic health record (EHR) in head and neck cancer care.

Methods  Cross-sectional time–motion study. Primary outcomes were the percentages of time spent on the EHR and the three main tasks (chart review, input, placing orders), number of mouse events, and keystrokes per consultation. Secondary outcome measures were perceptions of health care providers regarding EHR documentation and satisfaction.

Results  In total, 44.0% of initial oncological consultation (IOC) duration and 30.7% of follow-up consultation (FUC) duration are spent on EHR tasks. During 80.0% of an IOC and 67.9% of a FUC, the patient and provider were actively communicating. Providers required 593 mouse events and 1,664 keystrokes per IOC and 140 mouse events and 597 keystrokes per FUC, indicating almost 13 mouse clicks and close to 40 keystrokes for every minute of consultation time. Less than a quarter of providers indicated that there is enough time for documentation.

Conclusion  This study quantifies the widespread concern of high documentation burden for health care providers in oncology, which has been related to burnout and a decrease of patient–clinician interaction. Despite excessive time and effort spent on the EHR, health care providers still felt this was insufficient for proper documentation. However, the need for accurate and complete documentation is high, as reuse of information becomes increasingly important. The challenge is to decrease the documentation burden while increasing the quality of EHR data.

The Impact of Telemedicine on Physicians' After-hours Electronic Health Record "Work Outside Work" During the COVID-19 Pandemic: Retrospective Cohort Study

Background

Telemedicine as a mode of health care work has grown dramatically during the COVID-19 pandemic; the impact of this transition on clinicians’ after-hours electronic health record (EHR)–based clinical and administrative work is unclear.

Objective

This study assesses the impact of the transition to telemedicine during the COVID-19 pandemic on physicians’ EHR-based after-hours workload (ie, “work outside work”) at a large academic medical center in New York City.

Methods

We conducted an EHR-based retrospective cohort study of ambulatory care physicians providing telemedicine services before the pandemic, during the acute pandemic, and after the acute pandemic, relating EHR-based after-hours work to telemedicine intensity (ie, percentage of care provided via telemedicine) and clinical load (ie, patient load per provider).

Results

A total of 2129 physicians were included in this study. During the acute pandemic, the volume of care provided via telemedicine significantly increased for all physicians, whereas patient volume decreased. When normalized by clinical load (ie, average appointments per day by average clinical days per week), telemedicine intensity was positively associated with work outside work across time periods. This association was strongest after the acute pandemic.

Conclusions

Taking physicians’ clinical load into account, physicians who devoted a higher proportion of their clinical time to telemedicine throughout various stages of the pandemic engaged in higher levels of EHR-based after-hours work compared to those who used telemedicine less intensively. This suggests that telemedicine, as currently delivered, may be less efficient than in-person–based care and may increase the after-hours work burden of physicians.

A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review

Introduction: In biobanks, participants' biological samples are stored for future research. The application of artificial intelligence (AI) involves the analysis of data and the prediction of any pathological outcomes. In AI, models are used to diagnose diseases as well as classify and predict disease risks. Our research analyzed AI's role in the development of biobanks in the healthcare industry, systematically. Methods: The literature search was conducted using three digital reference databases, namely PubMed, CINAHL, and WoS. Guidelines for preferred reporting elements for systematic reviews and meta-analyses (PRISMA)-2020 in conducting the systematic review were followed. The search terms included "biobanks", "AI", "machine learning", and "deep learning", as well as combinations such as "biobanks with AI", "deep learning in the biobanking field", and "recent advances in biobanking". Only English-language papers were included in the study, and to assess the quality of selected works, the Newcastle-Ottawa scale (NOS) was used. The good quality range (NOS ≥ 7) is only considered for further review. Results: A literature analysis of the above entries resulted in 239 studies. Based on their relevance to the study's goal, research characteristics, and NOS criteria, we included 18 articles for reviewing. In the last decade, biobanks and artificial intelligence have had a relatively large impact on the medical system. Interestingly, UK biobanks account for the highest percentage of high-quality works, followed by Qatar, South Korea, Singapore, Japan, and Denmark. Conclusions: Translational bioinformatics probably represent a future leader in precision medicine. AI and machine learning applications to biobanking research may contribute to the development of biobanks for the utility of health services and citizens.

Opportunities to use electronic health record audit logs to improve cancer care

The rapid adoption of electronic health records (EHRs) has created extensive repositories of digitized data that can be used to inform improvements in care delivery, processes, and patient outcomes. While the clinical data captured in EHRs are widely used for such efforts, EHRs also capture audit log data that reflect how users interact with the EHR to deliver care. Automatically collected audit log data provide a unique opportunity for new insights into EHR user behavior and decision‐making processes. Here, we provide an overview of audit log data and examples that could be used to improve oncology care and outcomes in four domains: diagnostic reasoning and consumption, care team collaboration and communication, patient outcomes and experience, and provider burnout/fatigue. This data source could identify gaps in performance and care, physician uptake of EHR features that enhance decision‐making, and integration of data trends for oncology. Ensuring researchers and oncologists are familiar with the data's potential and developing the data engineering capacity to utilize this rich data source, will expand the breadth of research to improve cancer care.

The 21st Century Cures Act and Multiuser Electronic Health Record Access: Potential Pitfalls of Information Release

Although the Office of The National Coordinator for Health Information Technology's (ONC) Information Blocking Provision in the Cures Act Final Rule is an important step forward in providing patients free and unfettered access to their electronic health information (EHI), in the contexts of multiuser electronic health record (EHR) access and proxy access, concerns on the potential for harm in adolescent care contexts exist. We describe how the provision could erode patients' (both adolescent and older patients alike) trust and willingness to seek care. The rule's preventing harm exception does not apply to situations where the patient is a minor and the health care provider wishes to restrict a parent's or guardian's access to the minor's EHI to avoid violating the minor's confidentiality and potentially harming patient-clinician trust. This may violate previously developed government principles in the design and implementation of EHRs for pediatric care. Creating legally acceptable workarounds by means such as duplicate "shadow charting" will be burdensome (and prohibitive) for health care providers. Under the privacy exception, patients have the opportunity to request information to not be shared; however, depending on institutional practices, providers and patients may have limited awareness of this exception. Notably, the privacy exception states that providers cannot "improperly encourage or induce a patient's request to block information." Fearing being found in violation of the information blocking provisions, providers may feel that they are unable to guide patients navigating the release of their EHI in the multiuser or proxy access setting. ONC should provide more detailed guidance on their website and targeted outreach to providers and their specialty organizations that care for adolescents and other individuals affected by the Cures Act, and researchers should carefully monitor charting habits in these multiuser or proxy access situations.

The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study

Background

To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic.

Objective

The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses’ time required for screening and the waiting time for patients to receive medical care.

Methods

This was a single-center, comparative, prospective study designed according to the Public Health England guide “Evaluating Digital Products for Health.” A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution.

Results

The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours.

Conclusions

The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.

Physician Burnout and the Electronic Health Record Leading up to and During The First Year of COVID-19: A Systematic Review (Preprint)

Background

Physician burnout was first documented in 1974, and the electronic health record (EHR) has been known to contribute to the symptoms of physician burnout. Authors pondered the extent of this effect, recognizing the increased use of telemedicine during the first year of COVID-19.

Objective

The aim of this review was to objectively analyze the literature over the last 5 years for empirical evidence of burnout incident to the EHR and to identify barriers to, facilitators to, and associated patient satisfaction with using the EHR to improve symptoms of burnout.

Methods

No human participants were involved in this review; however, 100% of participants in studies analyzed were adult physicians. We queried 4 research databases and 1 targeted journal for studies commensurate with the objective statement from January 1, 2016 through January 31, 2021 (n=25).

Results

The hours spent in documentation and workflow are responsible for the sense of loss of autonomy, lack of work-life balance, lack of control of one’s schedule, cognitive fatigue, a general loss of autonomy, and poor relationships with colleagues. Researchers have identified training, local customization of templates and workflow, and the use of scribes as strategies to alleviate the administrative burden of the EHR and decrease symptoms of burnout.

Conclusions

The solutions provided in the literature only addressed 2 of the 3 factors (workflow and documentation time) but not the third factor (usability). Practitioners and administrators should focus on the former 2 factors because they are within their sphere of control. EHR vendors should focus on empirical evidence to identify and improve the usability features with the greatest impact. Researchers should design experiments to explore solutions that address all 3 factors of the EHR that contribute to burnout.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42020201820; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=201820

International Registered Report Identifier (IRRID)

RR2-10.2196/15490

Creating learning health systems and the emerging role of biomedical informatics

INTRODUCTION

The nature of information used in medicine has changed. In the past, we were limited to routine clinical data and published clinical trials. Today, we deal with massive, multiple data streams and easy access to new tests, ideas, and capabilities to process them. Whereas in the past getting information for decision-making was a challenge, now, it is how to analyze, evaluate and prioritize all that is readily available through the multitude of data-collecting devices. Clinicians must become adept with the tools needed to deal with the era of big data, requiring a major change in how we learn to make decisions. Major change is often met with resistance and questions about value. A Learning Health System is an enabler to encourage the development of such tools and demonstrate value in improved decision-making.

METHODS

We describe how we are developing a Biomedical Informatics program to help our medical institution's evolution as an academic Learning Health System, including strategy, training for house staff and examples of the role of informatics from operations to research.

RESULTS

We described an array of learning health system implementations and educational programs to improve healthcare and prepare a cadre of physicians with basic information technology skills. The programs have been well accepted with, for example, increasing interest and enrollment in the educational programs.

CONCLUSIONS

We are now in an era when large volumes of a wide variety of data are readily available. The challenge is not so much in the acquisition of data, but in assessing the quality, relevance and value of the data. The data we can get may not be the data we need. In the past, sources of data were limited, and trial results published in journals were the major source of evidence for decision making. The advent of powerful analytics systems has changed the concept of evidence. Clinicians will have to develop the skills necessary to work in the era of big data. It is not reasonable to expect that all clinicians will also be data scientists. However, understanding the role of AI and predictive analytics, and how to apply them, will become progressively more important. Programs such as the one being implemented at Wake Forest fill that need.

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.

Electronic health records and clinician burnout: A story of three eras

OBJECTIVE

The study sought to provide physicians, informaticians, and institutional policymakers with an introductory tutorial about the history of medical documentation, sources of clinician burnout, and opportunities to improve electronic health records (EHRs). We now have unprecedented opportunities in health care, with the promise of new cures, improved equity, greater sensitivity to social and behavioral determinants of health, and data-driven precision medicine all on the horizon. EHRs have succeeded in making many aspects of care safer and more reliable. Unfortunately, current limitations in EHR usability and problems with clinician burnout distract from these successes. A complex interplay of technology, policy, and healthcare delivery has contributed to our current frustrations with EHRs. Fortunately, there are opportunities to improve the EHR and health system. A stronger emphasis on improving the clinician's experience through close collaboration by informaticians, clinicians, and vendors can combine with specific policy changes to address the causes of burnout.

TARGET AUDIENCE

This tutorial is intended for clinicians, informaticians, policymakers, and regulators, who are essential participants in discussions focused on improving clinician burnout. Learners in biomedicine, regardless of clinical discipline, also may benefit from this primer and review.

SCOPE

We include (1) an overview of medical documentation from a historical perspective; (2) a summary of the forces converging over the past 20 years to develop and disseminate the modern EHR; and (3) future opportunities to improve EHR structure, function, user base, and time required to collect and extract information.

Novel Nonproprietary Measures of Ambulatory Electronic Health Record Use Associated with Physician Work Exhaustion

BACKGROUND

Accumulating evidence indicates an association between physician electronic health record (EHR) use after work hours and occupational distress including burnout. These studies are based on either physician perception of time spent in EHR through surveys which may be prone to bias or by utilizing vendor-defined EHR use measures which often rely on proprietary algorithms that may not take into account variation in physician's schedules which may underestimate time spent on the EHR outside of scheduled clinic time. The Stanford team developed and refined a nonproprietary EHR use algorithm to track the number of hours a physician spends logged into the EHR and calculates the Clinician Logged-in Outside Clinic (CLOC) time, the number of hours spent by a physician on the EHR outside of allocated time for patient care.

OBJECTIVE

The objective of our study was to measure the association between CLOC metrics and validated measures of physician burnout and professional fulfillment.

METHODS

Physicians from adult outpatient Internal Medicine, Neurology, Dermatology, Hematology, Oncology, Rheumatology, and Endocrinology departments who logged more than 8 hours of scheduled clinic time per week and answered the annual wellness survey administered in Spring 2019 were included in the analysis.

RESULTS

We observed a statistically significant positive correlation between CLOC ratio (defined as the ratio of CLOC time to allocated time for patient care) and work exhaustion (Pearson's r = 0.14; p = 0.04), but not interpersonal disengagement, burnout, or professional fulfillment.

CONCLUSION

The CLOC metrics are potential objective EHR activity-based markers associated with physician work exhaustion. Our results suggest that the impact of time spent on EHR, while associated with exhaustion, does not appear to be a dominant factor driving the high rates of occupational burnout in physicians.

Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review

BACKGROUND

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OBJECTIVE

Electronic health records (EHRs) are linked with documentation burden resulting in clinician burnout. While clear classifications and validated measures of burnout exist, documentation burden remains ill-defined and inconsistently measured. We aim to conduct a scoping review focused on identifying approaches to documentation burden measurement and their characteristics.

MATERIALS AND METHODS

Based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Extension for Scoping Reviews (ScR) guidelines, we conducted a scoping review assessing MEDLINE, Embase, Web of Science, and CINAHL from inception to April 2020 for studies investigating documentation burden among physicians and nurses in ambulatory or inpatient settings. Two reviewers evaluated each potentially relevant study for inclusion/exclusion criteria.

RESULTS

Of the 3482 articles retrieved, 35 studies met inclusion criteria. We identified 15 measurement characteristics, including 7 effort constructs: EHR usage and workload, clinical documentation/review, EHR work after hours and remotely, administrative tasks, cognitively cumbersome work, fragmentation of workflow, and patient interaction. We uncovered 4 time constructs: average time, proportion of time, timeliness of completion, activity rate, and 11 units of analysis. Only 45.0% of studies assessed the impact of EHRs on clinicians and/or patients and 40.0% mentioned clinician burnout.

DISCUSSION

Standard and validated measures of documentation burden are lacking. While time and effort were the core concepts measured, there appears to be no consensus on the best approach nor degree of rigor to study documentation burden.

CONCLUSION

Further research is needed to reliably operationalize the concept of documentation burden, explore best practices for measurement, and standardize its use.

Patient Satisfaction of Intravitreal Bevacizumab Injection Services at a Referral Center

Purpose:

To evaluate the patient satisfaction of intravitreal bevacizumab (IVB) injection services for ocular complications of diabetes mellitus (DM) at a referral center.

Methods:

Patients with diabetic macular edema (DME) and diabetic retinopathy (DR) who had undergone IVB injections between March and September 2018 were interviewed by telephone using two questionnaires. First, demographic information, medical history, and the Patient Satisfaction Questionnaire Short Form (PSQ-18) 5-point scale were collected. Then, the Retinopathy Treatment Satisfaction Questionnaire (RetTSQ) 7-point scale was completed. Total scores are presented on a 100-point scale, with 100 indicating complete satisfaction.

Results:

Two hundred and fifty patients (145 with DME and 105 with DR) were interviewed (mean age: 61 ± 10 years; male-to-female ratio: 1:1.5). The response rate was 96%. Twenty-one patients had only one injection. Two hundred and forty-eight (99.2%) patients had insurance. The mean number of total injections was 12.2 ± 11.5. Seventy (28%), forty-seven (18.8%), sixty-one (24.4%), and seventy-two (28.8%) patients underwent IVB treatment for <6 months, between 7 and 12 months, between 13 and 24 months, and >25 months, respectively. The mean total and overall scores were 90.8 ± 22.5 (completely satisfied) and 88.7 ± 16.6 (completely satisfied) based on PSQ-18 and RetTSQ, respectively. Financial problems and appointment scheduling systems were the highest cases of dissatisfaction.

Conclusion:

The majority of patients were highly satisfied with IVB injections for the management of ocular complications of DM. The appointment taking procedure, waiting times, out-of-pocket expenses, and access to the hospital should be improved.

Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content

Despite the great advances in the field of electronic health records (EHRs) over the past 25 years, implementation and adoption challenges persist, and the benefits realized remain below expectations. This scoping review aimed to present current knowledge about the effects of EHR implementation and the barriers to EHR adoption and use. A literature search was conducted in PubMed, Web of Science, IEEE Xplore Digital Library and ACM Digital Library for studies published between January 2005 and May 2020. In total, 7641 studies were identified of which 142 met the criteria and attained the consensus of all researchers on inclusion. Most studies (n = 91) were published between 2017 and 2019 and 81 studies had the United States as the country of origin. Both positive and negative effects of EHR implementation were identified, relating to clinical work, data and information, patient care and economic impact. Resource constraints, poor/insufficient training and technical/educational support for users, as well as poor literacy and skills in technology were the identified barriers to adoption and use that occurred frequently. Although this review did not conduct a quality analysis of the included papers, the lack of uniformity in the use of EHR definitions and detailed contextual information concerning the study settings could be observed.

The Electronic Medical Record and Nephrology Fellowship Education in the United States: An Opinion Survey

BACKGROUND AND OBJECTIVES

An unintended consequence of electronic medical record use in the United States is the potential effect on graduate physician training. We assessed educational burdens and benefits of electronic medical record use on United States nephrology fellows by means of a survey.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We used an anonymous online opinion survey of all United States nephrology program directors (n=148), their faculty, and fellows. Program directors forwarded survey links to fellows and clinical faculty, indicating to how many they forwarded the link. The three surveys had parallel questions to permit comparisons.

RESULTS

Twenty-two percent of program directors (n=33) forwarded surveys to faculty (n=387) and fellows (n=216; 26% of United States nephrology fellows). Faculty and fellow response rates were 25% and 33%, respectively; 51% of fellows agreed/strongly agreed that the electronic medical record contributed positively to their education. Perceived positive effects included access flexibility and ease of obtaining laboratory/radiology results. Negative effects included copy-forward errors and excessive, irrelevant documentation. Electronic medical record function was reported to be slow, disrupted, or completely lost monthly or more by >40%, and these were significantly less likely to agree that the electronic medical record contributed positively to their education. Electronic medical record completion time demands contributed to fellow reluctance to do procedures (52%), participate in conferences (57%), prolong patient interactions (74%), and do patient-directed reading (55%). Sixty-five percent of fellows reported often/sometimes exceeding work-hours limits due to documentation time demands; 85% of faculty reported often/sometimes observing copy-forward errors. Limitations include potential nonresponse and social desirability bias.

CONCLUSIONS

Respondents reported that the electronic medical record enhances fellow education with efficient and geographically flexible patient data access, but the time demands of data and order entry reduce engagement in educational activities, contribute to work-hours violations, and diminish direct patient interactions.

Exploring association between certified EHRs adoption and patient experience in U.S. psychiatric hospitals

OBJECTIVE

Certified Electronic Health Records (EHR) have been shown to improve the health service quality in some health settings, but there is scant evidence related to its adoption in psychiatric hospitals. This paper aimed to examine the relationship between certified EHR adoption and patient experience across psychiatric hospitals in the United States.

METHODS

A cross-sectional study design compared the difference in patient experience measures between psychiatric hospitals with and without certified EHR. Data were drawn from the American Hospital Association (AHA) Annual Survey Database and Hospital Compare datasets. Eleven publicly reported measures for patient experience from the Consumer Assessment of Healthcare Providers and Systems Hospital Survey (HCAHPS) were applied for analysis. Independent relationship of certified EHR adoption and patient experience was explored with multiple linear regression models adjusted for hospital organizational characteristics.

RESULTS

Positive associations were identified between certified EHR adoption and five patient perception measures-"recommend hospital" (β = 0.66, 95% CI = [0.16,1.16]; t = 2.68, p = 0.010), "overall hospital rating" (β = 0.39, 95% CI = [0.03,0.75]; t = 2.11, p = 0.035), "discharge information" (β = 0.45, 95% CI = [0.03,0.86]; t = 2.09, p = 0.037), "care transition" (β = 0.44, 95% CI = [0.14, 0.75]; t = 2.84, p = 0.005), and "responsiveness of hospital staff" (β = 0.47, 95% CI = [0.04, 0.90]; t = 2.13, p = 0.033).

CONCLUSION

Our results suggest the positive association between certified EHR adoption and patient experience. More studies are needed to explore impacts of certified EHR adoption and potential improvement in patient experience to quality of care.

The Implementation Chasm Hindering Genome-informed Health Care

The promises of precision medicine are often heralded in the medical and lay literature, but routine integration of genomics in clinical practice is still limited. While the "last mile' infrastructure to bring genomics to the bedside has been demonstrated in some healthcare settings, a number of challenges remain - both in the receptivity of today's health system and in its technical and educational readiness to respond to this evolution in care. To improve the impact of genomics on health and disease management, we will need to integrate both new knowledge and new care processes into existing workflows. This change will be onerous and time-consuming, but hopefully valuable to the provision of high quality, economically feasible care worldwide.

Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship

OBJECTIVES

Limited studies have been performed in South America to assess patient and physician perceptions of electronic health record (EHR) usage. We aim to study the perceptions of patients and physicians regarding the impact of EHRs on the patient-physician relationship.

METHODS

We use a survey instrument to assess the physician computer experience and opinions regarding EHR impact on various aspects of patient care. An additional survey is used to assess patient opinions related to their medical visit. Surveys are administered in two outpatient clinics in a private, academic health care network.

RESULTS

While a majority of physicians believed that EHRs have an overall positive impact on the quality of health care, many physicians had negative perceptions of the impact of EHRs on the patient-physician relationship. A majority of patients felt comfortable with their physician's use of the EHR and felt that their physician was able to maintain good personal contact while using the computer.

CONCLUSION

Although physicians believe EHRs have a generally positive impact on the overall quality of care, the EHR's impact on the patient-physician relationship is still of concern. Patients do not perceive a negative interference from the EHR on the patient-physician relationship.

Impact of Electronic Health Record Implementation on Ophthalmology Trainee Time Expenditures

Objective

Electronic health records (EHRs) are widely adopted, but the time demands of EHR use on ophthalmology trainees are not well understood. This study evaluated ophthalmology trainee time spent on clinical activities in an outpatient clinic undergoing EHR implementation.

Design

Prospective, manual time-motion observations of ophthalmology trainees in 2018.

Participants

Eleven ophthalmology residents and fellows observed during 156 patient encounters.

Methods

Prospective time-motion study of ophthalmology trainees 2 weeks before and 6 weeks after EHR implementation in an academic ophthalmology department. Manual time-motion observations were conducted for 11 ophthalmology trainees in 6 subspecialty clinics during 156 patient encounters. Time spent documenting, examining, and talking with patients were recorded. Factors influencing time requirements were evaluated using linear mixed effects models.

Main Outcome Measures

Total time spent by ophthalmology residents and fellows per patient, time spent on documentation, examination, and talking with patients.

Results

Seven ophthalmology residents and four ophthalmology fellows with mean (standard deviation) postgraduate year of 3.7 (1.2) were observed during 156 patient encounters. Using paper charts, mean total time spent on each patient was 11.6 (6.5) minutes, with 5.4 (3.5) minutes spent documenting (48%). After EHR implementation, mean total time spent on each patient was 11.8 (6.9) minutes, with 6.8 (4.7) minutes spent documenting (57%). Total time expenditure per patient did not significantly change after EHR implementation (+0.17 minutes, 95% confidence interval [CI] for difference in means: -2.78, 2.45; p = 0.90). Documentation time did not change significantly after EHR implementation in absolute terms (+1.42 minutes, 95% CI: -3.13, 0.29; p = 0.10), but was significantly greater as a proportion of total time (48% on paper to 57% on EHR; +9%, 95% CI: 2.17, 15.83; p = 0.011).

Conclusion

Total time spent per patient and absolute time spent on documentation was not significantly different whether ophthalmology trainees used paper charts or the recently implemented EHR. Percentage of total time spent on documentation increased significantly with early EHR use. Evaluating EHR impact on ophthalmology trainees may improve understanding of how trainees learn to use the EHR and may shed light on strategies to address trainee burnout.

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. To determine the relevance of patient data in different contexts, we collect and model the information seeking behavior of clinicians using a learning EMR (LEMR) system. Sufficient data were collected to train predictive models for 80 different targets (e.g., glucose level, heparin administration) and 27 of them had AUROC values of greater than 0.7. These results are encouraging considering the high variation in information seeking behavior (intraclass correlation 0.40). We plan to apply these models to a new set of patient cases and adapt the LEMR interface to highlight relevant patient data, and thus provide concise, context sensitive data.

Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics

OBJECTIVE

Over the last decade, electronic health records (EHRs) have shaped clinical practice. In this article, we investigated the perceived effects of EHR use on clinical workflow and meaningful use (MU) performance metrics.

MATERIALS AND METHODS

Semistructured interviews were conducted with 20 (n = 20) physicians at two urban emergency departments. Interview questions focused on time spent on EHR use, changes in clinical practices with EHR use, and the effect of MU performance metrics on clinical workflow. Qualitative coding using grounded theory and descriptive analyses were performed to provide descriptive insights.

RESULTS

Physicians reported that EHRs improved their clinical workflow, especially on MU-related activities including door-to-doctor time and admit decision time. EHR use also affected physicians work efficiency, quality of care provided, and overall patient safety.

CONCLUSION

Physicians' perception of EHRs is likely to influence their practices. With negative perceptions of EHR usability problems, positive aspects of EHR use, including the influence on MU performance metrics, may be overridden.