Improving the online presence of residency programs to ameliorate COVID-19's impact on residency applications.

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has created several challenges for residency programs and prospective interns alike during the upcoming application cycle, including the cancellation of away sub-internships and in-person interviews. Given prior research documenting that applicants' application and ranking decisions are significantly influenced by residency webpages, a potential solution to the loss of in-person experiences during the pandemic is the expansion of residency programs' online presence through their program websites, provision of virtual grand rounds and pseudo-away rotations, and enhancement of virtual interviews. This study seeks to summarize the existing literature on these areas and provide concrete suggestions for improving programs' virtual presence.Methods: The authors summarize earlier literature querying the content of program websites across 14 medical specialties, which documented significant gaps in the content of interest to applicants.Results: Among 14 analyzed specialties, the majority of programs had a functional website (>90%), with the exception of interventional radiology (73.9%). However, significant gaps in content were documented, with the percentage of content variables contained on websites ranging from 33.3% to 70.5% (median = 47.0%, interquartile range = 37.8-52.6%). Program websites were also limited by underrepresentation of content most valued by applicants as well as potential areas of inaccurate or outdated information.Conclusions: There are several interventions programs can undertake to address existing gaps in online presence. During an application cycle facing unprecedented resource strain, bolstering the online presence of programs may facilitate an improved fit between programs and future residents.

Enforcing the "4T": An In-Line Calculator for HIT Antibody Ordering in the Electronic Medical Record.

Heparin-induced thrombocytopenia (HIT) remains a difficult clinical diagnosis, even with the under-utilized standardized scoring systems, like the '4T' score, to aid in clinical decision-making. Our quality improvement study sought to assess the use of '4T' score, improve the use of HIT antibody (HITA) testing and improvement management of possible HIT by implementing an in-line calculator with guidance within our electronic medical record (EMR) at our institution. We retrospectively reviewed patient charts between October 2017 and October 2018, assessing practices before and after implementation of the '4T' in-line calculator in April 2018. HITA were ordered inappropriately (for 4T <4) in 141 (67%) of 210 instances (75 before and 66 after). We found no statistically significant difference in positive predictive value (PPV) or 4T documentation in provider notes after its implementation. We were able to identify problematic areas in HIT management, such as the ordering of non-heparin anticoagulants, and implement additional changes addressing these problems.

Are specific elements of electronic health record use associated with clinician burnout more than others?

OBJECTIVE: The study sought to examine the association between clinician burnout and measures of electronic health record (EHR) workload and efficiency, using vendor-derived EHR action log data. MATERIALS AND METHODS: We combined data from a statewide clinician survey on burnout with Epic EHR data from the ambulatory sites of 2 large health systems; the combined dataset included 422 clinicians. We examined whether specific EHR workload and efficiency measures were independently associated with burnout symptoms, using multivariable logistic regression and controlling for clinician characteristics. RESULTS: Clinicians with the highest volume of patient call messages had almost 4 times the odds of burnout compared with clinicians with the fewest (adjusted odds ratio, 3.81; 95% confidence interval, 1.44-10.14; P = .007). No other workload measures were significantly associated with burnout. No efficiency variables were significantly associated with burnout in the main analysis; however, in a subset of clinicians for whom note entry data were available, clinicians in the top quartile of copy and paste use were significantly less likely to report burnout, with an adjusted odds ratio of 0.22 (95% confidence interval, 0.05-0.93; P = .039). DISCUSSION: High volumes of patient call messages were significantly associated with clinician burnout, even when accounting for other measures of workload and efficiency. In the EHR, "patient calls" encompass many of the inbox tasks occurring outside of face-to-face visits and likely represent an important target for improving clinician well-being. CONCLUSIONS: Our results suggest that increased workload is associated with burnout and that EHR efficiency tools are not likely to reduce burnout symptoms, with the exception of copy and paste.