Navigating Uncertainty in Clinical Practice: A Workshop to Prepare Medical Students to Problem-Solve During Complex Clinical Challenges

MedEdPORTAL. 2023 Aug 9:19:11334. doi: 10.15766/mep_2374-8265.11334. eCollection 2023.

Abstract

Introduction: Uncertainty is an inherent part of medicine. Prior work has trained medical students to better communicate diagnostic uncertainty; however, this work touches on only one aspect of the uncertainty students will face in practice. We developed a session to provide them with a taxonomy for categorizing the various types of uncertainty, as well as a framework to apply when navigating uncertainty during clinical challenges. These tools can help students make sense of uncertainty and determine actions in a complex health system.

Methods: We designed a virtual workshop for third-year medical students at the end of their core clerkships. It included a didactic session followed by a small-group immersive unfolding case experience with several challenge points during which we tasked students with applying the framework, classifying the uncertainty domain, and discussing how they would problem-solve each scenario.

Results: We conducted the workshop with 128 third-year medical students. We collected data through an anonymous postsession survey (86% response rate; 110 of 128 students). Most found the workshop useful (64%; 54 of 85), and a large number found the framework helpful in appraising uncertainty (47%; 42 of 89). A majority felt their perspectives on uncertainty changed after the workshop (66%; 73 of 110). Students integrated prior health systems science knowledge in their strategies to problem-solve each challenge.

Discussion: This session provides a novel application of a sense-making framework and taxonomy for medical students to classify uncertainty. It offers a simple, low-cost, interactive, virtual activity that can be implemented at other institutions.

Keywords: Clinical Teaching/Bedside Teaching; Complexity; Disabilities; Diversity; Equity; Health Systems; Inclusion; Problem-Solving; Uncertainty.

MeSH terms

  • Emotions
  • Humans
  • Medicine*
  • Students, Medical*
  • Surveys and Questionnaires
  • Uncertainty