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Sharing and Reusing Computable Phenotype Definitions.
Visweswaran, Shyam; Zhang, Louisa Yu; Bui, Kevin; Sadhu, Eugene M; Samayamuthu, Malarkodi J; Morris, Michele M.
Afiliação
  • Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Zhang LY; The Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
  • Bui K; IDEXX Laboratories, Inc., Westbrook, ME, USA.
  • Sadhu EM; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Morris MM; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
medRxiv ; 2023 Sep 18.
Article em En | MEDLINE | ID: mdl-37790390
ABSTRACT

Background:

A scalable approach for the sharing and reuse of human-readable and computer-executable phenotype definitions can facilitate the reuse of electronic health records for cohort identification and research studies. Description We developed a tool called Sharephe for the Informatics for Integrating Biology and the Bedside (i2b2) platform. Sharephe consists of a plugin for i2b2 and a cloud-based searchable repository of computable phenotypes, has the functionality to import to and export from the repository, and has the ability to link to supporting metadata.

Discussion:

The i2b2 platform enables researchers to create, evaluate, and implement phenotypes without knowing complex query languages. In an initial evaluation, two sites on the Evolve to Next-Gen ACT (ENACT) network used Sharephe to successfully create, share, and reuse phenotypes.

Conclusion:

The combination of a cloud-based computable repository and an i2b2 plugin for accessing the repository enables investigators to store and retrieve phenotypes from anywhere and at any time and to collaborate across sites in a research network.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos