Coping with Complexity and Uncertainty: Insights from Studying Epidemiology in Family Medicine

2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Family medicine’s epidemiology is complex, it shows a power-law or Pareto distribution of consultation outcomes. Eighty percent of consultations end with an “uncertain diagnoses” [more accurately these consultations end with descriptive terms of symptom, group of symptoms or disease picture (or syndromes)] and only 20 % have a well-defined diagnosis. Robert N. Braun developed a pragmatic approach—a hierarchy of diagnostic certainty, and diagnostic protocols—to help general practitioners/family physicians to cope with the discipline’s complexities in everyday practice, and elaborated critically on the limitations of heuristics and Bayesian approaches as tools for clinical decision-making.

Cite

CITATION STYLE

APA

Konitzer, M., Fink, W., Lipatov, V., Kamenski, G., & Knigge, T. (2016). Coping with Complexity and Uncertainty: Insights from Studying Epidemiology in Family Medicine. In The Value of Systems and Complexity Sciences for Healthcare (pp. 51–67). Springer International Publishing. https://doi.org/10.1007/978-3-319-26221-5_5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free