Journal of general internal medicine
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Residents receive infrequent feedback on their clinical reasoning (CR) documentation. While machine learning (ML) and natural language processing (NLP) have been used to assess CR documentation in standardized cases, no studies have described similar use in the clinical environment. ⋯ The authors developed and validated a high-performing ML model that classifies CR documentation quality in resident admission notes in the clinical environment-a novel application of ML and NLP with many potential use cases.
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Online education due to the COVID-19 pandemic caused many medical schools to increasingly employ asynchronous and virtual learning that favored student independence and flexibility. At the same time, the COVID-19 pandemic highlighted existing shortcomings of the healthcare field in providing for marginalized and underserved communities. This perspective piece details the authors' opinions as medical students and medical educators on how to leverage the aspects of pandemic medical education to train physicians who can better address these needs.
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Use of EPA-based entrustment-supervision ratings to determine a learner's readiness to assume patient care responsibilities is expanding. ⋯ To realize the full educational and catalytic effect of EPA assessments, assessors must apply established performance expectations and provide high-quality narrative comments aligned with the criteria.
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Internal medicine (IM) residents are underprepared in women's health. Lack of properly trained faculty and clinic culture limits the ability to provide bedside teaching. ⋯ After implementing the women's health clinic, more women were asked about sexual health needs, and fewer were referred to gynecology, suggesting increased women's healthcare provided by residents.
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Panel management (PM) curricula in internal medicine (IM) residency programs often assign performance measures which may not address the varied interests or needs of resident-learners. ⋯ A longitudinal PM curriculum that incorporated SDL and goal setting with EHR-driven performance feedback was well-received by residents, however did not significantly impact the rate of care gap closure.