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Using Electronic Health Records for Population Health Research: A Review of Methods and Applications.
Casey, Joan A; Schwartz, Brian S; Stewart, Walter F; Adler, Nancy E.
Afiliação
  • Casey JA; Robert Wood Johnson Foundation Health and Society Scholars Program at the University of California, San Francisco, and the University of California, Berkeley, Berkeley, California 94720-7360; joanacasey@berkeley.edu.
  • Schwartz BS; Departments of Environmental Health Sciences and Epidemiology, Bloomberg School of Public Health, and the Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205; email: bschwar1@jhu.edu.
  • Stewart WF; Center for Health Research, Geisinger Health System, Danville, Pennsylvania 17822.
  • Adler NE; Research, Development and Dissemination, Sutter Health, Walnut Creek, California 94596; email: stewarwf@sutterhealth.org.
Annu Rev Public Health ; 37: 61-81, 2016.
Article em En | MEDLINE | ID: mdl-26667605
ABSTRACT
The use and functionality of electronic health records (EHRs) have increased rapidly in the past decade. Although the primary purpose of EHRs is clinical, researchers have used them to conduct epidemiologic investigations, ranging from cross-sectional studies within a given hospital to longitudinal studies on geographically distributed patients. Herein, we describe EHRs, examine their use in population health research, and compare them with traditional epidemiologic methods. We describe diverse research applications that benefit from the large sample sizes and generalizable patient populations afforded by EHRs. These have included reevaluation of prior findings, a range of diseases and subgroups, environmental and social epidemiology, stigmatized conditions, predictive modeling, and evaluation of natural experiments. Although studies using primary data collection methods may have more reliable data and better population retention, EHR-based studies are less expensive and require less time to complete. Future EHR epidemiology with enhanced collection of social/behavior measures, linkage with vital records, and integration of emerging technologies such as personal sensing could improve clinical care and population health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa Epidemiológica / Coleta de Dados / Registros Eletrônicos de Saúde / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Annu Rev Public Health Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa Epidemiológica / Coleta de Dados / Registros Eletrônicos de Saúde / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Annu Rev Public Health Ano de publicação: 2016 Tipo de documento: Article