Evidence map›Paper›PMID 41467686›Full record

ReviewATS scholar2025

Leaning into Necessary Discomforts: Striving for Clinical Excellence While Maintaining Wellness.

Hitesh H Patel, Erica Lin

Abstract readReview
In one paragraph

Review in ATS scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hitesh H PatelSchool of Medicine, University of Virginia, Charlottesville, Virginia; and.
Erica LinSchool of Medicine, University of California, San Diego, La Jolla, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical education is redefining clinical excellence in the face of high learner (medical student and house staff) burnout rates, exposing a dichotomy between clinical rigor and well-being. Endurance-based traditions that once equated long hours with competence persist, yet contemporary evidence shows that effective learning environments, grounded in psychological safety and timely bidirectional feedback, improve both performance and well-being. Through the lens of early career clinician educators, we trace the origins of hardship-driven training, review data linking burnout to impaired clinical performance, and describe how competency-based medical education, anchored in entrustable professional activities and qualitative milestones, shifts success metrics from hours logged to skills demonstrated. We explore generational shifts that intensify the need for transparent discussions of expectations between learners and educators. We advocate for a culture in which mistakes are viewed as learning opportunities rather than failures. Finally, we argue that educational reforms must undergo rigorous, longitudinal evaluation before widespread implementation to ensure that they enhance competence, reduce burnout, and maximize patient safety. Clarifying which stressors cultivate mastery and which merely exhaust will allow us to produce physicians who learn more effectively, care for patients more safely, and remain in the profession longer. By cocreating psychologically safe, data-driven training models that retain "necessary discomforts" while eliminating "unnecessary harms," medical education can reconcile its dual obligations to clinical excellence and learner well-being.

Indexed as

Burnout, ProfessionalClinical CompetenceCompetency-Based EducationEducation, MedicalStudents, MedicalHumansburnoutclinical excellencewellness

Identifiers

PMID41467686
PMCPMC12712816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.