The use of decision analytic models to inform clinical decision making in the management of hepatocellular carcinoma

W. Ray Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Decision analysis helps evaluate competing strategies under conditions of uncertainty in a wide variety of clinical settings. Despite some limitations, decision trees and Markov models remain essential tools for medical decision analysts. These techniques allow comparison of competing management strategies in a quantitative fashion. Sensitivity analysis is an important feature of decision analytic models that identify important factors that affect the outcome of decisions under considerations. Judiciously used, decision analytic models allow a quantitative evaluation of existing data as they relate to strategies ranging from optimizing clinical management at the patient level to allocating health care resources at the societal level.

Original languageEnglish (US)
Pages (from-to)225-234
Number of pages10
JournalClinics in Liver Disease
Volume9
Issue number2
DOIs
StatePublished - May 2005

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Decision Trees
Decision Support Techniques
Health Resources
Uncertainty
Hepatocellular Carcinoma
Delivery of Health Care
Clinical Decision-Making

ASJC Scopus subject areas

  • Hepatology

Cite this

The use of decision analytic models to inform clinical decision making in the management of hepatocellular carcinoma. / Kim, W. Ray.

In: Clinics in Liver Disease, Vol. 9, No. 2, 05.2005, p. 225-234.

Research output: Contribution to journalArticle

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