title: Development and verification of a hypertension guideline encoding model.
abstract: For encoding sharable and interoperable guideline knowledge for hypertension management, standard guidelines including JNC7 were chosen. The knowledge modeling process consisted of defining scenarios for describing workflow and identifying knowledge logics. Evaluation of the encoding model was conducted by scenario-based testing. Two experts inverted exclamation mark recommendations were compared with those inferred from the encoding model. The agreement level ranged from 77% to 100%.
authors.affiliation: Center for Interoperable EHR, Seoul, Korea.
authors.forename: Ji Hyun
authors.initials: JH
authors.lastname: Kim
authors.forename: In Sook
authors.initials: IS
authors.lastname: Cho
authors.forename: Jae Hyun
authors.initials: JH
authors.lastname: Lee
authors.forename: Dong Hyun
authors.initials: DH
authors.lastname: Shim
authors.forename: Hyun Young
authors.initials: HY
authors.lastname: Kim
authors.forename: Yoon
authors.initials: Y
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D006973:Hypertension / Q000145:classification*; D016247:Information Storage and Retrieval / Q000379:methods; D007723:Korea; D016347:Medical Records Systems, Computerized / Q000592:standards*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D017410:Practice Guidelines as Topic; D009626:Terminology as Topic