Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.

ABSTRACT:

Background

With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patients can be an invaluable tool to enhance data abstraction accuracy and efficacy in order to improve clinical research accrual and patient centered outcomes. We aimed to derive and validate a computable phenotype for ADHF in hospitalized patients.

Methods

We screened 256, 443 eligible (age > 18 years and with prior research authorization) individuals who were admitted to Mayo Clinic Hospital in Rochester, MN, from January 1, 2006, through December 31, 2014. Using a randomly selected derivation cohort of 938 patients, several iterations of a free-text electronic

SUBMITTER: Kashyap R 

PROVIDER: S-EPMC7206747 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature