Abstract
Health care is fallible and prone to diagnostic and management errors. The major categories of diagnostic errors include: (1) no-fault errors--the disease is present but not detected; (2) system errors--a diagnosis is delayed or missed because of the imperfection in the health care system; and (3) cognitive errors--a misdiagnosis from faulty data collection or interpretation, flawed reasoning, or incomplete knowledge. Approximately one third of patient problems are mismanaged because of diagnostic errors. Part of the solution lies in improving the diagnostic skills and critical thinking abilities of physicians as they progress through medical school and residency training. However, this task is challenging since both medical problem-solving and the learning environments are complex and not easily understood. There are many interacting variables including the motivation of the medical student (e.g. deep versus surface learning), the acquisition and evolution of declarative and conditional knowledge (e.g. reduced, dispersed, elaborated, scheme, and scripted), problem-solving strategies (e.g. procedural knowledge-guessing, hypothetical deductive, scheme inductive, and pattern recognition), curricular models (e.g. apprenticeship, discipline-based, body system-based, case-based, clinical presentation-based), teaching strategies (e.g. teaching general to specific or specific to general), the presented learning opportunities (PBL versus scheme inductive PBL), and the nature of the learning environment (e.g. modeling critical thinking and expert problem-solving). This paper elaborates on how novices differ from experts and how novices can be educated in a manner that enhances their level of expertise and diagnostic abilities as they progress through several years of medical training.