title: Guideline classification to assist modeling, authoring, implementation and retrieval.
abstract: The National Guideline Clearinghouse (NGC) and its guideline classification system are significant contributions to the study of clinical practice guidelines (CPGs) and their incorporation into routine clinical care. The NGC classification system is primarily designed to support guideline retrieval. We believe that a guideline classification system should also support identification of features that relate to incorporation of executable CPGs into computer-based applications for sharing and delivering guideline-based advice. We have developed a proposed expansion of the NGC guideline classification for this purpose. The axes of the proposed scheme have implications for designing formal models and structures for representing and authoring CPGs. This scheme also has implications for future research.
authors.affiliation: Stanford Medical Informatics, Stanford University School of Medicine, Stanford, CA, USA.
authors.forename: E
authors.initials: E
authors.lastname: Bernstam
authors.forename: N
authors.initials: N
authors.lastname: Ash
authors.forename: M
authors.initials: M
authors.lastname: Peleg
authors.forename: S
authors.initials: S
authors.lastname: Tu
authors.forename: A A
authors.initials: AA
authors.lastname: Boxwala
authors.forename: P
authors.initials: P
authors.lastname: Mork
authors.forename: E H
authors.initials: EH
authors.lastname: Shortliffe
authors.forename: R A
authors.initials: RA
authors.lastname: Greenes
mesh_terms: D002965:Classification / Q000379:methods*; D019992:Databases as Topic; D016247:Information Storage and Retrieval; D017410:Practice Guidelines as Topic