The search-inference framework: a proposed strategy for novice clinical problem solving.
BACKGROUND
Medical education in the clinical clerkship years emphasises the systematic collection and organisation of patient information to be combined with domain-specific knowledge of disease processes. Eventually, novice clinical problem solvers will learn to recognise patterns within the patient data ('illness scripts') which suggest the main diagnostic possibilities. Before novice problem solvers develop these illness scripts, pattern recognition may not be effective for solving clinical problems.


METHODS
This discussion paper describes the application of a decision framework adapted from cognitive psychology (the search-inference framework) to basic medical problem solving. Emphasis is placed on problem solving by novices who have not yet developed a full compliment of illness scripts.


CONCLUSIONS
The search-inference framework is similar to the approach taken by laypersons to diagnose their own symptoms or solve other problems. It may be especially useful for students who have not yet developed a sizeable repertoire of illness scripts, and the principles described may also be invoked by experienced clinicians confronting difficult clinical problems.
Aberegg
Scott K
SK
The Ohio State University College of Medicine, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Columbus, Ohio, USA. scottaberegg@hotmail.com
O'Brien
James M
JM
Lucarelli
Maria
M
Terry
Peter B
PB
D003937:Diagnosis, Differential; D019317:Evidence-Based Medicine; D006040:Goals; D016247:Information Storage and Retrieval; D007396:Internship and Residency; D018794:Problem-Based Learning / Q000379:methods*