Twelve tips for clinicians dealing with uncertainty when assessing learners

It does not have to be either or! Assessing competence in medicine should be a continuum between an analytic and a holistic approach

Assessing competence is a tremendous challenge in medical education. There are two contrasting approaches in competence assessment: an analytic approach that aims to precisely measure observable constituents and facets of competence and a holistic approach that focuses on a comprehensive assessment of competences in complex real situations reflecting actual performance. We would like to contribute to the existing discourse about medical competence and its assessment by proposing an approach that can provide orientation for the development of competence-based assessment concepts in undergraduate and postgraduate medical education. The approach follows Kane's framework of an "argument-based approach" to validity and is based on insights into task complexity, testing and learning theories as well as the importance of the learning environment. It describes a continuum from analytic to holistic approaches to assess the constituents and facets of competence to performance. We conclude that the complexity of a task should determine the selection of the assessment and suggest to use this approach to reorganize and adapt competence assessment.

Controversies in diagnosis: contemporary debates in the diagnostic safety literature

Since the 2015 publication of the National Academy of Medicine's (NAM) Improving Diagnosis in Health Care (Improving Diagnosis in Health Care. In: Balogh EP, Miller BT, Ball JR, editors. Improving Diagnosis in Health Care. Washington (DC): National Academies Press, 2015.), literature in diagnostic safety has grown rapidly. This update was presented at the annual international meeting of the Society to Improve Diagnosis in Medicine (SIDM). We focused our literature search on articles published between 2016 and 2018 using keywords in Pubmed and the Agency for Healthcare Research and Quality (AHRQ)'s Patient Safety Network's running bibliography of diagnostic error literature (Diagnostic Errors Patient Safety Network: Agency for Healthcare Research and Quality; Available from: https://psnet.ahrq.gov/search?topic=Diagnostic-Errors&f_topicIDs=407). Three key topics emerged from our review of recent abstracts in diagnostic safety. First, definitions of diagnostic error and related concepts are evolving since the NAM's report. Second, medical educators are grappling with new approaches to teaching clinical reasoning and diagnosis. Finally, the potential of artificial intelligence (AI) to advance diagnostic excellence is coming to fruition. Here we present contemporary debates around these three topics in a pro/con format.