Physician Use of Electronic Health Records: Survey Study Assessing Factors Associated With Provider Reported Satisfaction and Perceived Patient Impact

The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis

BACKGROUND

The digital transformation of health care is advancing rapidly. A well-accepted framework for health care improvement is the Quadruple Aim: improved clinician experience, improved patient experience, improved population health, and reduced health care costs. Hospitals are attempting to improve care by using digital technologies, but the effectiveness of these technologies is often only measured against cost and quality indicators, and less is known about the clinician and patient experience.

OBJECTIVE

This study aims to conduct a systematic review and qualitative evidence synthesis to assess the clinician and patient experience of digital hospitals.

METHODS

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and ENTREQ (Enhancing the Transparency in Reporting the Synthesis of Qualitative Research) guidelines were followed. The PubMed, Embase, Scopus, CINAHL, and PsycINFO databases were searched from January 2010 to June 2022. Studies that explored multidisciplinary clinician or adult inpatient experiences of digital hospitals (with a full electronic medical record) were included. Study quality was assessed using the Mixed Methods Appraisal Tool. Data synthesis was performed narratively for quantitative studies. Qualitative evidence synthesis was performed via (1) automated machine learning text analytics using Leximancer (Leximancer Pty Ltd) and (2) researcher-led inductive synthesis to generate themes.

RESULTS

A total of 61 studies (n=39, 64% quantitative; n=15, 25% qualitative; and n=7, 11% mixed methods) were included. Most studies (55/61, 90%) investigated clinician experiences, whereas few (10/61, 16%) investigated patient experiences. The study populations ranged from 8 to 3610 clinicians, 11 to 34,425 patients, and 5 to 2836 hospitals. Quantitative outcomes indicated that clinicians had a positive overall satisfaction (17/24, 71% of the studies) with digital hospitals, and most studies (11/19, 58%) reported a positive sentiment toward usability. Data accessibility was reported positively, whereas adaptation, clinician-patient interaction, and workload burnout were reported negatively. The effects of digital hospitals on patient safety and clinicians' ability to deliver patient care were mixed. The qualitative evidence synthesis of clinician experience studies (18/61, 30%) generated 7 themes: inefficient digital documentation, inconsistent data quality, disruptions to conventional health care relationships, acceptance, safety versus risk, reliance on hybrid (digital and paper) workflows, and patient data privacy. There was weak evidence of a positive association between digital hospitals and patient satisfaction scores.

CONCLUSIONS

Clinicians' experience of digital hospitals appears positive according to high-level indicators (eg, overall satisfaction and data accessibility), but the qualitative evidence synthesis revealed substantive tensions. There is insufficient evidence to draw a definitive conclusion on the patient experience within digital hospitals, but indications appear positive or agnostic. Future research must prioritize equitable investigation and definition of the digital clinician and patient experience to achieve the Quadruple Aim of health care.

Clinicians' Attitudes Toward Electronic Health Records in Saudi Arabia

AIM

 This study explored physicians' and nurses' attitudes toward an electronic health record (EHR) system and examined the features and factors that clinicians associated with the implementation of EHR systems.

METHODS

 A self-administered anonymous questionnaire with high reliability and validity was adopted from existing research to gather clinicians' attitudes toward the EHR system implemented at King Khalid University Hospital, one of the biggest hospitals in Riyadh, Saudi Arabia.

RESULTS

 A total of 438 questionnaire responses were received from the participants; 240 of them were physicians and 198 were nurses. The participants had a mean age of 43.7 years (standard deviation (SD) 17.1), 213 (52.7%) were female and 207 (47.3%) were male. Most participants (424, 96.8%) had one or more years of experience using computers, and a majority (304, 69.4%) had one or more years of experience using EHR systems. Most physicians and nurses (214, 89.5% vs. 174, 87.9%) were satisfied with their hospital's EHR system and felt that the system was highly usable and had the potential to improve communication between staff, facilitate easy storage of and access to information and lead to improved health outcomes for patients. The study found positive attitudes among clinicians concerning the quality of training and education around the new system (178, 74.2% of physicians vs. 142, 71.7% of nurses; p > 0.05) and toward leadership during the transition to HER (222, 92.5% vs. 183, 92.4%). On the other hand, a majority of nurses reported that the EHR system took longer to use and increased their workload compared with the previous analogue system (115 (47.9%) vs. 133 (67.2%); p ≤ 0.01 and 46.7% vs. 112 (64.1%)). A large majority of physicians and nurses surveyed (214 (89.2%) vs. 167 (84.3%)) stated that clinicians should be consulted in the design of such systems as a way to maximise the potential benefits of EHR and mitigate extra workload demands.

CONCLUSION

 Most clinicians expressed overall satisfaction with the EHR system, but there were some areas of dissatisfaction among the respondents, such as increasing workload and stress among nurses. There is scope for further research to continue to explore physicians' and nurses' attitudes toward EHRs and for future experimental studies that examine the impact of EHRs on clinician workloads, patient health outcomes and quality of care.

Using K-Means Clustering to Identify Physician Clusters by Electronic Health Record Burden and Efficiency

Objectives: Electronic health records (EHRs) have transformed the way modern medicine is practiced, but they remain a major source of documentation burden among physicians. This study aims to use data from Signal, a tool provided by the Epic EHR, to analyze physician metadata in the Montefiore Health System via cluster analysis to assess EHR burden and efficiency. Methods: Data were obtained for a one-month period (July 2020) representing a return to normal operation post-telemedicine implementation. Six metrics from Signal were used to phenotype physicians: time on unscheduled days, pajama time, time outside of 7 AM to 7 PM, turnaround time, proficiency score, and visits closed the same day. k-Means clustering was employed to group physicians, and the clusters were assessed overall and by sex and specialty. Results: Our results demonstrate the partitioning of physicians into a higher-efficiency, lower-time outside of scheduled hours (TOSH) cluster and a lower-efficiency, higher-TOSH cluster even when stratified by sex and specialty. Intra-cluster comparisons showed general homogeneity of physician metrics with the exception of the higher-efficiency, lower-TOSH cluster when stratified by sex. Conclusions: Taken together, the clusters uniquely reflect the EHR efficiency-burden of the Montefiore Health System. Applying k-means clustering to readily available EHR data allows for a scalable, efficient, and adaptable approach of assessing physician EHR burden and efficiency, allowing health systems to examine documentation trends and target wellness interventions.

Clinician Perceptions of Transition From Legacy Electronic Health Record to MHS GENESIS: A Pilot Study

INTRODUCTION

The implementation of a new electronic health record (EHR) presents significant challenges as users navigate a new interface. Our institution was an early adopter of MHS GENESIS (MHSG), the MHS's new EHR. This study investigated provider perceptions of usability and the prevalence of burnout during an EHR transition from the Legacy system (LEHR) utilizing online, anonymous surveys before implementation and at several points post-implementation.

MATERIALS AND METHODS

Clinician satisfaction, perceptions of EHR impact on safety, communication, reliability, and chart completion were assessed on five-point Likert scales. Usability was assessed using the validated System Usability Scale (SUS). Burnout prevalence was assessed using a validated single-item measure. Data were gathered via online, anonymous surveys before implementation and at 1, 3-6, and 9-12 months post "Go-Live."

RESULTS

Of 367 clinicians, 56 responded to the baseline survey; on average, 29% of responses were positive (i.e., satisfied or very satisfied) with LEHR. Following implementation, an average of 47%, 37%, and 47% of responses were positive for MHSG at 1 months (n = 42), 6 months (n = 55), and 12 months (n = 30), respectively. The mean SUS for LEHR was 48 (on a scale of 1-100); for MHSG, the mean SUS was 48 (1 month), 41 (6 months), and 44 (12 months). The burnout rate was reported as 39% (baseline), 26% (1 month), 33% (6 months), and 37% (12 months).

CONCLUSIONS

Perceptions of system usability, physician satisfaction, and burnout were not remarkably different between the two systems. Study results imply a need for further investigation as to why most clinicians continue to be unsatisfied with MHSG and wish to return to LEHR and whether or how this EHR transition contributed to burnout or if other factors are more contributory in this population. Future studies could also explore whether changes in the clinician interface, training, or implementation process impact clinician satisfaction, burnout, and desire to return to LEHR, or if these measures change with longer follow-up or in more varied populations.

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.

LGBTQ+ Identity and Ophthalmologist Burnout

PURPOSE

To evaluate lesbian, gay, bisexual, transgender, questioning, and other sexual/gender minority (LGBTQ+) orientation as a burnout risk factor among an international ophthalmologist cohort.

METHODS

An anonymous, cross-sectional electronic survey was distributed via an Internet platform to characterize the relationship among demographic factors, including LGBTQ+ orientation, and burnout as measured by the Copenhagen Burnout Inventory (CBI). Univariable data analysis (linear) by sexual orientation was performed and variables with an association with a P value of <0.15 in univariable analysis were included in the multiple linear regression modeling.

RESULTS

A total of 403 ophthalmologists participated in the survey. The majority self-identified as "White" (69.2%), were from North America (72.0% United States, 18.6% Canada) and were evenly distributed between age of 30 and 65 years. Overall, 13.2% of participants identified as LGBTQ+ and 98.2% as cisgender. Approximately 12% had witnessed or experienced LGBTQ+-related workplace discrimination or harassment. The personal and work-related burnout scores and confidence limits of persons identified as LGBTQ+ were higher and nonoverlapping compared with those reported as non-LGBTQ+. Multivariable analysis identified significant risk factors for higher personal and work-related burnout scores: LGBTQ+ (11.8 and 11.1, P = .0005 and .0023), female gender (5.36 and 4.83, P = .0153 and .0434), older age (19.1 and 19.2, P = .0173 and .0273). and caretaker stress (6.42 and 5.97, P = .0085 and .0239).

CONCLUSIONS

LGBTQ+ orientation is a burnout risk factor among ophthalmologists, and LGBTQ+ workplace discrimination may be a contributing factor. Support from ophthalmology organizations to address LGBTQ+-, gender-, and age-related workplace discrimination may decrease burnout. NOTE: Publication of this article is sponsored by the American Ophthalmological Society.

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.

Physician Electronic Health Record Usage as Affected by the COVID-19 Pandemic

OBJECTIVES

To utilize metrics from physician action logs to analyze volume, physician efficiency and burden as impacted by telemedicine implementation during the COVID-19 (coronavirus disease 2019) pandemic, and physician characteristics such as gender, years since graduation, and specialty category.

METHODS

We selected 11 metrics from Epic Signal, a functionality of the Epic electronic health record (EHR). Metrics measuring time spent in the EHR outside working hours were used as a correlate for burden. We performed an analysis of these metrics among active physicians at our institution across three time periods-prepandemic and telehealth implementation (August 2019), postimplementation of telehealth (May 2020), and follow-up (July 2020)-and correlated them with physician characteristics.

RESULTS

Analysis of 495 physicians showed that after the start of the pandemic, physicians overall had fewer appointments per day, higher same day visit closure rates, and spent less time writing notes in the EHR outside 7 a.m. to 7 p.m. on patient scheduled days. Across all three time periods, male physicians had better EHR-defined "efficiency" measures and spent less time in the EHR outside working hours. Years since graduation only had modest associations with higher same day visit closure rates and appointments per day in May 2020. Specialty category was significantly associated with appointments per day and same day closure visit rates and also was a significant factor in the observed changes seen across the three time periods.

CONCLUSION

Utilizing EHR-generated reports may provide a scalable and nonintrusive way to monitor trends in physician usage and experience to help guide health systems in increasing productivity and reducing burnout.

Time difference in retrieving clinical information in Patient-overview Prostate Cancer compared to electronic health records

BACKGROUND

Patients with advanced prostate cancer (PCa) typically undergo numerous lines of treatment leading to large amounts of information in Electronic Health Records (EHRs). The Patient-overview Prostate Cancer (PPC) presents clinical information in a graphical overview. The aim of this study was to measure time spent on retrieving clinical information in PPC compared to EHRs, to assess if retrieved data was correct and to explore usability of PPC.

MATERIAL AND METHODS

Oncologists, urologists and nurses in three hospitals in Sweden were timed when filling out questionnaires about patients using PPC and two different EHRs; Melior and COSMIC. Time and number of errors were analysed using linear mixed models (LMMs). Usability of PPC was measured with the System Usability Scale.

RESULTS

The LMM showed a significantly shorter time to retrieve information in PPC compared to EHRs. The estimated time to complete one questionnaire was 8 minutes (95% CI = 6-10, p < 0.001) in PPC compared to 25 minutes in Melior and 21 minutes in COSMIC. Compared to PPC, the estimated time difference was 17 minutes longer in Melior (95% CI = 14-20, p < 0.001) and 13 minutes longer in COSMIC (95% CI = 10-17, p < 0.001). The LMM showed significantly fewer errors in PPC compared to Melior. No significant difference in the number of errors was found between PPC and COSMIC. The usability of PPC was rated as excellent by oncologists, urologists and nurses.

CONCLUSION

A graphical overview of a patient's medical history, as in PPC, gives health staff rapid access to relevant information with a high degree of usability.

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.

Factors contributing to physicians’ current use and satisfaction of electronic health records (EHRs) in Kuwait’s public health care: Cross-Sectional Questionnaire Study (Preprint)

Background

Electronic health record (EHR) has emerged as a backbone health care organization that aims to integrate health care records and automate clinical workflow. With the adoption of the eHealth care system, health information communication technologies and EHRs are offering significant health care advantages in the form of error reduction, improved communication, and patient satisfaction.

Objective

This study aimed to (1) investigate factors associated with physicians’ EHR adoption status and prevalence of EHRs in Kuwait and (2) identify factors predicting physician satisfaction with EHRs in public hospitals in Kuwait.

Methods

This study was conducted at Kuwait’s public Al-Jahra hospital from May to September 2019, using quantitative research methods. Primary data were gathered via questionnaires distributed among 295 physicians recruited using convenience sampling. Data were analyzed in SPSS using descriptive, bivariate, and multivariate linear regression, adjusted for demographics.

Results

Results of the study revealed that the controlled variable of gender (β=–.197; P=.02) along with explanatory variables, such as training quality (β=.068; P=.005), perception of barriers (β=–.107; P=.04), and effect on physician (β=.521; P<.001) have a significant statistical relationship with physicians’ EHR adoption status. Furthermore, findings also suggested that controlled variables of gender (β=–.193; P=.02), education (β=–.164; P=.03), effect on physician (β=.417; P<.001), and level of ease of use (β=.254; P<.001) are significant predictors of the degree of physician satisfaction with the EHR system.

Conclusions

The findings of this study had significant managerial and practical implications for creating an inductive environment for the acceptance of EHR systems across a broad spectrum of health care system in Kuwait.

Ambulatory physicians' electronic health record self-efficacy

Ambulatory providers were administered an EHR skills self-assessment survey to assess their confidence in learning about and using the electronic health record (EHR). Seventy-one providers participated. Only 35% of respondents felt that they had strong EHR skills, 92% felt confident that they could learn new skills, and 90% felt they could improve with practice. Forty-five percent of faculty physicians felt confident that they could use the EHR in a time-efficient manner and 52% felt could keep up with advances but 16% felt apprehensive about using the EHR. Ninety-four percent of faculty would welcome opportunities to learn more. These results suggest that most providers view using the EHR as a clinical skill they can master with training and practice and that physicians may be engaged by EHR training programs that focus on the use of the EHR as a clinical skill. This work has informed new training programs at our institution.

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.

Physician Stress During Electronic Health Record Inbox Work: In Situ Measurement With Wearable Sensors

Background

Increased work through electronic health record (EHR) messaging is frequently cited as a factor of physician burnout. However, studies to date have relied on anecdotal or self-reported measures, which limit the ability to match EHR use patterns with continuous stress patterns throughout the day.

Objective

The aim of this study is to collect EHR use and physiologic stress data through unobtrusive means that provide objective and continuous measures, cluster distinct patterns of EHR inbox work, identify physicians’ daily physiologic stress patterns, and evaluate the association between EHR inbox work patterns and physician physiologic stress.

Methods

Physicians were recruited from 5 medical centers. Participants (N=47) were given wrist-worn devices (Garmin Vivosmart 3) with heart rate sensors to wear for 7 days. The devices measured physiological stress throughout the day based on heart rate variability (HRV). Perceived stress was also measured with self-reports through experience sampling and a one-time survey. From the EHR system logs, the time attributed to different activities was quantified. By using a clustering algorithm, distinct inbox work patterns were identified and their associated stress measures were compared. The effects of EHR use on physician stress were examined using a generalized linear mixed effects model.

Results

Physicians spent an average of 1.08 hours doing EHR inbox work out of an average total EHR time of 3.5 hours. Patient messages accounted for most of the inbox work time (mean 37%, SD 11%). A total of 3 patterns of inbox work emerged: inbox work mostly outside work hours, inbox work mostly during work hours, and inbox work extending after hours that were mostly contiguous to work hours. Across these 3 groups, physiologic stress patterns showed 3 periods in which stress increased: in the first hour of work, early in the afternoon, and in the evening. Physicians in group 1 had the longest average stress duration during work hours (80 out of 243 min of valid HRV data; P=.02), as measured by physiological sensors. Inbox work duration, the rate of EHR window switching (moving from one screen to another), the proportion of inbox work done outside of work hours, inbox work batching, and the day of the week were each independently associated with daily stress duration (marginal R²=15%). Individual-level random effects were significant and explained most of the variation in stress (conditional R²=98%).

Conclusions

This study is among the first to demonstrate associations between electronic inbox work and physiological stress. We identified 3 potentially modifiable factors associated with stress: EHR window switching, inbox work duration, and inbox work outside work hours. Organizations seeking to reduce physician stress may consider system-based changes to reduce EHR window switching or inbox work duration or the incorporation of inbox management time into work hours.

A systematic review of contributing factors of and solutions to electronic health record-related impacts on physician well-being

OBJECTIVE

Physicians often describe the electronic health record (EHR) as a cumbersome impediment to meaningful work, which has important implications for physician well-being. This systematic review (1) assesses organizational, physician, and information technology factors associated with EHR-related impacts on physician well-being; and (2) highlights potential improvements to EHR form and function, as recommended by frontline physicians.

MATERIALS AND METHODS

The MEDLINE, Embase, CINAHL, PsycINFO, ProQuest, and Web of Science databases were searched for literature describing EHR use by physicians and markers of well-being.

RESULTS

After reviewing 7388 article, 35 ultimately met the inclusion criteria. Multiple factors across all levels were associated with EHR-related well-being among physicians. Notable predictors amenable to interventions include (1) total EHR time, (2) after-hours EHR time, (3) on-site EHR support, (4) perceived EHR usability, (5) in-basket burden, and (6) documentation burden. Physician recommendations also echoed these themes.

CONCLUSIONS

There are multiple complex factors involved in EHR-related well-being among physicians. Our review shows physicians have recommendations that span from federal regulations to organizational policies to EHR modifications. Future research should assess multipronged interventions that address these factors. As primary stakeholders, physicians should be included in the planning and implementation of such modifications to ensure compatibility with physician needs and clinical workflows.

Physician perceptions of documentation methods in electronic health records

This study sought to determine physician, specialty and practice factors influencing choice of method for electronic health record (EHR) documentation: direct typing (DT), electronic transcription (ET), human transcription (HT), and scribes. A survey assessing physician documentation practices was developed and distributed online. The primary outcome was the proportion of physicians using each method. Secondary outcomes were provider-rated accuracy, efficiency, and ease of navigation on a 1-5 Likert scale. Means were compared using linear mixed models with Bonferroni adjustment. The 818 respondents were mostly outpatient (46%) adult (79%) physicians, practiced for a mean 15.8 years, and used DT for EHR documentation (72%). Emergency physicians were more likely to use scribes (p < 0.0001). DT was rated less efficient than all other methods (p < 0.0001). ET was rated less accurate than DT (p < 0.001) and HT (p < 0.001). HT was rated less easy to navigate than DT (p = 0.002) and scribe (p < 0.001), and ET less than scribe (p = 0.002). Two hundred and forty-three respondents provided free-text comments that further described opinions. DT was the most commonly used EHR method but rated least efficient. Scribes were rated easy to navigate and efficient but infrequently used outside of emergency settings. Further innovation is needed to design systems responsive to all physician EHR needs.

Standardisation, multi-measure, data quality and trending: A qualitative study on multidisciplinary perspectives to improve intensive care early mobility monitoring

OBJECTIVE

To explore multi-clinician perspectives on intensive care early mobility, monitoring and to assess the perceived value of technology-generated mobility metrics to provide user feedback to inform research, practice improvement, and technology development.

METHODS

We performed a qualitative descriptive study. Three focus groups were conducted with critical care clinicians, including nurses (n = 10), physical therapists (n = 8) and physicians (n = 8) at an academic medical centre that implemented an intensive care early mobility programme in 2012. Qualitative thematic analysis was used to code transcripts and identify overarching themes.

FINDINGS

Along with reaffirming the value of performing early mobility interventions, four themes for improving mobility monitoring emerged, including the need for: 1) standardised indicators for documenting mobility; 2) inclusion of both quantitative and qualitative metrics to measure mobility 3) a balance between quantity and quality of data; and 4) trending mobility metrics over time.

CONCLUSION

Intensive care mobility monitoring should be standardised and data generated should be high quality, capable of supporting trend analysis, and meaningful. By improving measurement and monitoring of mobility, future researchers can examine the arc of activity that patients in the intensive care unit undergo and develop models to understand factors that influence successful implementation.

e-health usage and health workers' motivation and job satisfaction in Ghana

Background

The application of digital technology to improve health service delivery is increasing rapidly in Low- and Middle- Income Countries (LMICs). Digital tools such as electronic health (e-health) have been shown to improve healthcare quality, efficiency and patient satisfaction. However, evidence on health workers’ experiences using e-health services is limited in LMICs. This study examined the relationship between e-health usage and health workers’ motivation and job satisfaction.

Methods

This was a cross-sectional survey design involving health workers across public and private hospitals in the Accra Metropolitan Assembly (AMA). A structured questionnaire was designed and self-administered to 305 respondents. Partial Least Square-Structural Equation Modelling (PLS-SEM) was employed to analyse the data.

Results

Findings showed a significant positive association of job satisfaction with e-health (p < 0.01) and type of hospital (p < 0.01) but not motivation (p = 0.42). Although type of hospital significantly influenced job satisfaction (p < 0.01), it had no significant mediating effect on the relationship between e-health and job satisfaction. Finally, type of hospital interacted with e-health to moderate the association between e-health usage and job satisfaction.

Conclusion

The findings suggest that e-health systems can catalyse health workers job satisfaction. Thus, measures to strengthen e-health structures to improve on their efficiency and effectiveness is crucial.

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.

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.