Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems

• Published in: AMIA ... Annual Symposium proceedings Vol. 2016; pp. 504 - 513
• Main Authors: DesAutels, Spencer J, Fox, Zachary E, Giuse, Dario A, Williams, Annette M, Kou, Qing-Hua, Weitkamp, Asli, Neal R, Patel, Bettinsoli Giuse, Nunzia
• Format: Journal Article
• Language: English
• Published: United States American Medical Informatics Association 2016
• Subjects: Academic Medical Centers; Decision Support Systems, Clinical - organization & administration; Hospital Information Systems - organization & administration; Humans; Tennessee; Vocabulary, Controlled
• ISSN: 1559-4076

Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems.