Impact of medical scribes on physician and patient satisfaction in dermatology

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.

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.

Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site

Successful treatment of solid cancers relies on complete surgical excision of the tumor either for definitive treatment or before adjuvant therapy. Intraoperative and postoperative radial sectioning, the most common form of margin assessment, can lead to incomplete excision and increase the risk of recurrence and repeat procedures. Mohs Micrographic Surgery is associated with complete removal of basal cell and squamous cell carcinoma through real-time margin assessment of 100% of the peripheral and deep margins. Real-time assessment in many tumor types is constrained by tissue size, complexity, and specimen processing / assessment time during general anesthesia. We developed an artificial intelligence platform to reduce the tissue preprocessing and histological assessment time through automated grossing recommendations, mapping and orientation of tumor to the surgical specimen. Using basal cell carcinoma as a model system, results demonstrate that this approach can address surgical laboratory efficiency bottlenecks for rapid and complete intraoperative margin assessment.

Interventions to Reduce Electronic Health Record-Related Burnout: A Systematic Review

BACKGROUND

Electronic health records are a significant contributing factor in clinician burnout, which negatively impacts patient care.

OBJECTIVES

To identify and appraise published solutions that aim to reduce EHR-related burnout in clinicians.

METHODS

A literature search strategy was developed following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Six databases were searched for articles published between January 1950 and March 2023. The inclusion criteria were peer-reviewed, full-text, English language articles that described interventions targeting EHR-related burnout in any type of clinician, with reported outcomes related to burnout, wellness, EHR satisfaction, or documentation workload. Studies describing interventions without an explicit focus on reducing burnout or enhancing EHR-related satisfaction were excluded.

RESULTS

We identified 44 articles describing interventions to reduce EHR-related burnout. These interventions included the use of scribes, EHR training, and EHR modifications. These interventions were generally well received by the clinicians and patients, with subjective improvements in documentation time and EHR satisfaction, although objective data were limited.

CONCLUSION

The findings of this review underscore the potential benefits of interventions to reduce EHR-related burnout as well as the need for further research with more robust study designs involving randomized trials, control groups, longer study durations, and validated, objective outcome measurements.

Development of a Visit Facilitator Role to Assist Physicians in an Ambulatory Consultative Medical Practice

Objective

To decrease the electronic health record (EHR) clerical burden and improve patient/clinician satisfaction, allied health staff were trained as visit facilitators (VFs) to assist the physician in clinical and administrative tasks.

Patients and Methods

From December 7, 2020, to October 11, 2021, patients with complex medical conditions were evaluated by an internal medicine physician in an outpatient general internal medicine (GIM) consultative practice at a tertiary care institution. A VF assisted with specific tasks before, during, and after the clinical visit. Presurvey and postsurvey assessments were performed to understand the effect of the VF on clinical tasks as perceived by the physician.

Results

A total of 57 GIM physicians used a VF, and 41 (82%) physicians and 39 (79%) physicians completed the pre-VF and post-VF surveys, respectively. Physicians reported a significant reduction in time reviewing outside materials, updating pertinent information, and creating/modifying EHR orders (P<.05). Clinicians reported improved interactions with patients and on-time completion of clinical documentation. In the pre-VF survey, "too much time spent" was the most common response for reviewing outside material, placing/modifying orders, completing documentation/clinical notes, resolving in-baskets, completing dismissal letters, and completing tasks outside of work hours. In the post-VF survey, "too much time spent" was not the most common answer to any question. Satisfaction improved in all areas (P<.05).

Conclusion

VFs significantly reduced the EHR clinical burden and improved GIM physician practice satisfaction. This model can potentially be used in a wide range of medical practices.

A mixed methods study on factors that promote and ameliorate burnout in academic dermatologists

The burnout literature is replete with burnout score results from quantitative surveys. There is a paucity of qualitative research that seeks to understand the impact of physician stressors on work-life balance and burnout. This study aimed to identify factors that support and disrupt work-life balance, drivers of burnout, and potential solutions among academic dermatologists. The objective was to better understand factors that promote wellness and ameliorate burnout. Concurrent explanatory mixed methods consisted of scores on the Abbreviated Maslach Burnout Inventory and open-ended semi-structured telephone interviews. The results were that positive factors, such as supportive home life and satisfaction derived from academic endeavors, compete with ongoing feelings of exhaustion, frustration, and apathy. Negative stressors include the electronic medical record, insufficient staffing, administrative and clinical task burden, and perceived lack of interest from mid-level and senior health system leadership in addressing clinicians' needs. This was a single-center academic study. As with all qualitative studies, these results may not be generalizable to all dermatologists. In addition, some participants were concerned about their anonymity. Modifiable root causes of burnout require institutional commitment to sustain the pace required by academic dermatologists.

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.