title: Knowledge bases, clinical decision support systems, and rapid learning in oncology.
abstract: One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clinical decision support tools are frequently cited as a technologic solution to this problem, but to date useful clinical decision support systems (CDSS) have been limited in utility and implementation. This article describes three unique sources of health data that underlie fundamentally different types of knowledge bases which feed into CDSS. CDSS themselves comprise a variety of models which are discussed. The relationship of knowledge bases and CDSS to rapid learning health systems design is critical as CDSS are essential drivers of rapid learning in clinical care.
authors.affiliation: Palo Alto Medical Foundation, Palo Alto, CA yup3@pamf.org.
authors.forename: Peter Paul
authors.initials: PP
authors.lastname: Yu
mesh_terms: D002986:Clinical Trials as Topic; D020000:Decision Support Systems, Clinical; D003695:Delivery of Health Care; D006801:Humans; D051188:Knowledge Bases; D008495:Medical Oncology; D049490:Systems Biology