Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. (7th March 2023)

• Record Type: Journal Article
• Authors: Honerlaw, Jacqueline; Ho, Yuk-Lam; Fontin, Francesca; Gosian, Jeffrey; Maripuri, Monika; Murray, Michael; Sangar, Rahul; Galloway, Ashley; Zimolzak, Andrew J; Whitbourne, Stacey B; Casas, Juan P; Ramoni, Rachel B; Gagnon, David R; Cai, Tianxi; Liao, Katherine P; Gaziano, J Michael; Muralidhar, Sumitra; Cho, Kelly
• Is Part Of: Journal of the American Medical Informatics Association. Volume 30:Number 5(2023)
• Page Start: 958
• Page End: 964
• Publication Date: 2023-03-07
• Subjects: electronic health records -- phenomics -- algorithms -- library collection development; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocad030
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs (VA) has developed a standard for phenotype metadata collection which is currently used in the VA phenomics knowledgebase library, CIPHER (Centralized Interactive Phenomics Resource), to capture over 5000 phenotypes. The CIPHER standard improves upon existing phenotype library metadata collection by capturing the context of algorithm development, phenotyping method used, and approach to validation. While the standard was iteratively developed with VA phenomics experts, it is applicable to the capture of phenotypes across healthcare systems. We describe the framework of the CIPHER standard for phenotype metadata collection, the rationale for its development, and its current application to the largest healthcare system in the United States.