Use of the Electronic Health Record to Track Continuity of Care in Neurological Surgery Residency

Uses of Electronic Health Record Data to Measure the Clinical Learning Environment of Graduate Medical Education Trainees: A Systematic Review

PURPOSE

This study systematically reviews the uses of electronic health record (EHR) data to measure graduate medical education (GME) trainee competencies.

METHOD

In January 2022, the authors conducted a systematic review of original research in MEDLINE from database start to December 31, 2021. The authors searched for articles that used the EHR as their data source and in which the individual GME trainee was the unit of observation and/or unit of analysis. The database query was intentionally broad because an initial survey of pertinent articles identified no unifying Medical Subject Heading terms. Articles were coded and clustered by theme and Accreditation Council for Graduate Medical Education (ACGME) core competency.

RESULTS

The database search yielded 3,540 articles, of which 86 met the study inclusion criteria. Articles clustered into 16 themes, the largest of which were trainee condition experience (17 articles), work patterns (16 articles), and continuity of care (12 articles). Five of the ACGME core competencies were represented (patient care and procedural skills, practice-based learning and improvement, systems-based practice, medical knowledge, and professionalism). In addition, 25 articles assessed the clinical learning environment.

CONCLUSIONS

This review identified 86 articles that used EHR data to measure individual GME trainee competencies, spanning 16 themes and 6 competencies and revealing marked between-trainee variation. The authors propose a digital learning cycle framework that arranges sequentially the uses of EHR data within the cycle of clinical experiential learning central to GME. Three technical components necessary to unlock the potential of EHR data to improve GME are described: measures, attribution, and visualization. Partnerships between GME programs and informatics departments will be pivotal in realizing this opportunity.

Enhanced Scheduling Support to Improve Continuity of Care in a Resident Training Clinic

BACKGROUND

Clinical continuity is recognized as a driver of satisfaction for patients and physicians. Greater continuity may positively affect trainee decisions to enter primary care. Maintaining clinical continuity remains a challenge in residency clinics.

OBJECTIVE

We determined whether enhanced scheduling support was associated with improvement in internal medicine resident continuity with patients.

METHODS

This study was conducted from June 2017 to December 2018. In the intervention clinic, a single scheduling staff member (ratio of 10 residents to 1 scheduler) was colocated within the clinical space, allowing the scheduler to participate in clinical discussions and direct communication with physicians regarding future appointments. In the comparison clinic, scheduling staff (19:1 ratio) were located at a remote front desk area and relied on patient reports or electronic health record orders to identify appointment needs and arrange follow-up appointments. The main outcome of the intervention was resident continuity, calculated using the continuity for physician formula.

RESULTS

During the study period, mean resident continuity was 23% (range 13%-37%) in the comparison clinic (57 residents) and 54% (range 38%-66%) in the intervention clinic (10 residents). Resident continuity was significantly higher in the intervention clinic compared with the traditional control clinic for every quarter measured (P < .001 for all comparisons).

CONCLUSIONS

Enhancing scheduling support through colocation and a lower resident to scheduler ratios was associated with significantly higher rates of resident continuity compared with a traditional front desk model, with results sustained over 18 months.