TY - JOUR
T1 - Centralized Interactive Phenomics Resource
T2 - an integrated online phenomics knowledgebase for health data users
AU - Honerlaw, Jacqueline
AU - Ho, Yuk Lam
AU - Fontin, Francesca
AU - Murray, Michael
AU - Galloway, Ashley
AU - Heise, David
AU - Connatser, Keith
AU - Davies, Laura
AU - Gosian, Jeffrey
AU - Maripuri, Monika
AU - Russo, John
AU - Sangar, Rahul
AU - Tanukonda, Vidisha
AU - Zielinski, Edward
AU - Dubreuil, Maureen
AU - Zimolzak, Andrew J.
AU - Panickan, Vidul A.
AU - Cheng, Su Chun
AU - Whitbourne, Stacey B.
AU - Gagnon, David R.
AU - Cai, Tianxi
AU - Liao, Katherine P.
AU - Ramoni, Rachel B.
AU - Michael Gaziano, J.
AU - Muralidhar, Sumitra
AU - Cho, Kelly
N1 - Publisher Copyright:
© 2024 Oxford University Press. All rights reserved.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Objective: Development of clinical phenotypes from electronic health records (EHRs) can be resource intensive. Several phenotype libraries have been created to facilitate reuse of definitions. However, these platforms vary in target audience and utility. We describe the development of the Centralized Interactive Phenomics Resource (CIPHER) knowledgebase, a comprehensive public-facing phenotype library, which aims to facilitate clinical and health services research. Materials and Methods: The platform was designed to collect and catalog EHR-based computable phenotype algorithms from any healthcare system, scale metadata management, facilitate phenotype discovery, and allow for integration of tools and user workflows. Phenomics experts were engaged in the development and testing of the site. Results: The knowledgebase stores phenotype metadata using the CIPHER standard, and definitions are accessible through complex searching. Phenotypes are contributed to the knowledgebase via webform, allowing metadata validation. Data visualization tools linking to the knowledgebase enhance user interaction with content and accelerate phenotype development. Discussion: The CIPHER knowledgebase was developed in the largest healthcare system in the United States and piloted with external partners. The design of the CIPHER website supports a variety of front-end tools and features to facilitate phenotype development and reuse. Health data users are encouraged to contribute their algorithms to the knowledgebase for wider dissemination to the research community, and to use the platform as a springboard for phenotyping. Conclusion: CIPHER is a public resource for all health data users available at https://phenomics.va.ornl.gov/ which facilitates phenotype reuse, development, and dissemination of phenotyping knowledge.
AB - Objective: Development of clinical phenotypes from electronic health records (EHRs) can be resource intensive. Several phenotype libraries have been created to facilitate reuse of definitions. However, these platforms vary in target audience and utility. We describe the development of the Centralized Interactive Phenomics Resource (CIPHER) knowledgebase, a comprehensive public-facing phenotype library, which aims to facilitate clinical and health services research. Materials and Methods: The platform was designed to collect and catalog EHR-based computable phenotype algorithms from any healthcare system, scale metadata management, facilitate phenotype discovery, and allow for integration of tools and user workflows. Phenomics experts were engaged in the development and testing of the site. Results: The knowledgebase stores phenotype metadata using the CIPHER standard, and definitions are accessible through complex searching. Phenotypes are contributed to the knowledgebase via webform, allowing metadata validation. Data visualization tools linking to the knowledgebase enhance user interaction with content and accelerate phenotype development. Discussion: The CIPHER knowledgebase was developed in the largest healthcare system in the United States and piloted with external partners. The design of the CIPHER website supports a variety of front-end tools and features to facilitate phenotype development and reuse. Health data users are encouraged to contribute their algorithms to the knowledgebase for wider dissemination to the research community, and to use the platform as a springboard for phenotyping. Conclusion: CIPHER is a public resource for all health data users available at https://phenomics.va.ornl.gov/ which facilitates phenotype reuse, development, and dissemination of phenotyping knowledge.
KW - algorithms
KW - electronic health records
KW - library
KW - phenomics
UR - http://www.scopus.com/inward/record.url?scp=85191007046&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocae042
DO - 10.1093/jamia/ocae042
M3 - Article
C2 - 38481028
AN - SCOPUS:85191007046
SN - 1067-5027
VL - 31
SP - 1126
EP - 1134
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 5
ER -