The Use of Learning Analytics to Enable Detection of Underperforming Trainees: An Analysis of National Vascular Surgery Trainee ACGME Milestones Assessment Data.

Smith, Brigitte K; Yamazaki, Kenji; Tekian, Ara; Holmboe, Eric; Hamstra, Stanley J; Mitchell, Erica L; Park, Yoon Soo

Smith, Brigitte K; Yamazaki, Kenji; Tekian, Ara; Holmboe, Eric; Hamstra, Stanley J; Mitchell, Erica L; Park, Yoon Soo.

Affiliation

Smith BK; Division of Vascular Surgery, Department of Surgery, University of Utah, School of Medicine, Salt Lake City, UT.
Yamazaki K; Accreditation Council for Graduate Medical Education, Chicago, IL.
Tekian A; University of Illinois-Chicago Department of Medical Education, Chicago, IL.
Holmboe E; Accreditation Council for Graduate Medical Education, Chicago, IL.
Hamstra SJ; Accreditation Council for Graduate Medical Education, Chicago, IL.
Mitchell EL; University of Toronto, Department of Surgery.
Park YS; Department of Surgery, University of Tennessee Health & Science Center, Vascular and Endovascular Surgery, Regional One Health Medical Center, Memphis, TN.

Ann Surg ; 277(4): e971-e977, 2023 04 01.

Article in En | MEDLINE | ID: mdl-35129524

Subject(s)

Internship and Residency; Humans; Educational Measurement; Clinical Competence; Education, Medical, Graduate; Accreditation; Vascular Surgical Procedures

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Full text: 1 Database: MEDLINE Main subject: Internship and Residency Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Ann Surg Year: 2023 Type: Article

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