Knowledge-based method for building patient decision-analytic tools.
Numerous health decision aids (HDAs) have been developed to increase the participation of patients in shared decision-making, but many have limited accessibility and narrow applicability in clinical care. In the Health e-Decision project, we address these limitations in our work on building general HDAs targeted for older adults. Our approach uses a decision-support software architecture that enables principled methods for HDAs. We have formalized a novel knowledge-based decision model (KBDM), using Protégé OWL, that developers and clinicians can instantiate to tailor the components of the architecture for a particular health problem. In this paper, we present the methods used in the architecture and the knowledgebase design; the latter encompasses influence-diagram concepts, specific health problems, health outcome states, and probabilistic relationships. We discuss how this approach improves upon prior HDA methods. We also show that our use of computer-interpretable knowledge provides a structured, customizable means of enabling patient-centered decision support.
Das
Amar K
AK
Stanford Medical Informatics, Stanford University, Stanford, CA 94305, USA.
Ahmed
Bilal A
BA
Garten
Yael
Y
Robin
Jeremy I
JI
Goldstein
Mary K
MK
D000368:Aged; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D006801:Humans; D051188:Knowledge Bases; D016347:Medical Records Systems, Computerized; D010358:Patient Participation; D012984:Software