title: Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.
abstract: 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.
authors.affiliation: Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Spencer J
authors.initials: SJ
authors.lastname: DesAutels
authors.affiliation: Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Zachary E
authors.initials: ZE
authors.lastname: Fox
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Dario A
authors.initials: DA
authors.lastname: Giuse
authors.affiliation: Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Annette M
authors.initials: AM
authors.lastname: Williams
authors.affiliation: Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Qing-Hua
authors.initials: QH
authors.lastname: Kou
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Asli
authors.initials: A
authors.lastname: Weitkamp
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Patel
authors.initials: P
authors.lastname: Neal R
authors.affiliation: Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
authors.forename: Nunzia
authors.initials: N
authors.lastname: Bettinsoli Giuse
mesh_terms: D000046:Academic Medical Centers; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D006751:Hospital Information Systems / Q000458:organization & administration; D006801:Humans; D013714:Tennessee; D018875:Vocabulary, Controlled