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Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.
Honerlaw, Jacqueline; Ho, Yuk-Lam; Fontin, Francesca; Murray, Michael; Galloway, Ashley; Heise, David; Connatser, Keith; Davies, Laura; Gosian, Jeffrey; Maripuri, Monika; Russo, John; Sangar, Rahul; Tanukonda, Vidisha; Zielinski, Edward; Dubreuil, Maureen; Zimolzak, Andrew J; Panickan, Vidul A; Cheng, Su-Chun; Whitbourne, Stacey B; Gagnon, David R; Cai, Tianxi; Liao, Katherine P; Ramoni, Rachel B; Gaziano, J Michael; Muralidhar, Sumitra; Cho, Kelly.
Afiliación
  • Honerlaw J; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Ho YL; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Fontin F; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Murray M; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Galloway A; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Heise D; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Connatser K; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Davies L; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Gosian J; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Maripuri M; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Russo J; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
  • Sangar R; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
  • Tanukonda V; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830, United States.
  • Zielinski E; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Dubreuil M; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Zimolzak AJ; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Panickan VA; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Cheng SC; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Whitbourne SB; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Gagnon DR; Department of Computer Science, Landmark College, Putney, VT 05346, United States.
  • Cai T; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Liao KP; VA Boston Healthcare System, Boston, MA 02111, United States.
  • Ramoni RB; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Gaziano JM; VA Atlanta Healthcare System, Decatur, GA 30033, United States.
  • Muralidhar S; Centralized Interactive Phenomics Resource (CIPHER), Office of Research and Development, Veterans Health Administration, Washington, DC 20002, United States.
  • Cho K; VA Boston Healthcare System, Boston, MA 02111, United States.
J Am Med Inform Assoc ; 31(5): 1126-1134, 2024 Apr 19.
Article en En | MEDLINE | ID: mdl-38481028
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Fenómica Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Fenómica Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido