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Opportunities and challenges for biomarker discovery using electronic health record data.
Singhal, P; Tan, A L M; Drivas, T G; Johnson, K B; Ritchie, M D; Beaulieu-Jones, B K.
Afiliação
  • Singhal P; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Tan ALM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Drivas TG; Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Johnson KB; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA; Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA.
  • Ritchie MD; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: marylyn@pennmedicine.upenn.edu.
  • Beaulieu-Jones BK; Department of Medicine, University of Chicago, Chicago, IL, USA. Electronic address: beaulieujones@uchicago.edu.
Trends Mol Med ; 29(9): 765-776, 2023 09.
Article em En | MEDLINE | ID: mdl-37474378
ABSTRACT
Electronic health records (EHRs) have become increasingly relied upon as a source for biomedical research. One important research application of EHRs is the identification of biomarkers associated with specific patient states, especially within complex conditions. However, using EHRs for biomarker identification can be challenging because the EHR was not designed with research as the primary focus. Despite this challenge, the EHR offers huge potential for biomarker discovery research to transform our understanding of disease etiology and treatment and generate biological insights informing precision medicine initiatives. This review paper provides an in-depth analysis of how EHR data is currently used for phenotyping and identifying molecular biomarkers, current challenges and limitations, and strategies we can take to mitigate challenges going forward.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Mol Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Mol Med Ano de publicação: 2023 Tipo de documento: Article