Optimizing use of illness script builder templates in medical education
Illness scripts are mental networks of information about medical diseases and are used by clinicians to efficiently make diagnostic and treatment decisions. The traditional components of an illness script include the epidemiologic risk factors, pathophysiology, and clinical findings of a disease [Feltovich PJ, Barrows HS. Issues of generality in medical problem solving. In: Schmidt HG, De Volder ML, editors. Tutorials in problem-based learning. Assen/Maastricht: Van Gorcum; 1984:128-42 pp]. Here, we coin the term illness script builder templates (ISBTs), which are educational tools to help learners develop their illness scripts. While the actual concept of ISBTs is not new, we aim to explicitly distinguish these discrete learning tools from illness scripts themselves, which are mental frameworks. ISBTs have significant pedagogic value. They are being more widely adopted in clinical curricula in medical school, as they have been well-received by students and educationally effective. ISBTs allow the integration of new knowledge to be intuitive, as they take advantage of our predilection toward story-based learning. Limitations to ISBTs also exist, especially when considering their optimal length and structure as well as complexity for different levels of learners. We additionally explore the specific strengths and limitations of ISBTs and propose strategies to maximize their use in education and clinical practice.
Authors
- Prathit A. Kulkarni (ORCID: https://orcid.org/0000-0001-8611-8699)
- Alec B. Rezigh
- Erin H. Yang (ORCID: https://orcid.org/0009-0005-9680-4066)
- Joseph Rencic (ORCID: https://orcid.org/0000-0002-2598-3299)
Institutions
- Boston University (US)
- Michael E. DeBakey VA Medical Center (US)
- Baylor College of Medicine (US)
Publication Details
- Journal
- Diagnosis
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1515/dx-2025-0005
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00