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Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network.
Herr, Timothy M; Peterson, Josh F; Rasmussen, Luke V; Caraballo, Pedro J; Peissig, Peggy L; Starren, Justin B.
Afiliação
  • Herr TM; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Peterson JF; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Rasmussen LV; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Caraballo PJ; Department of Medicine and Center for Translational Informatics and Knowledge Management, Mayo Clinic, Rochester, Minnesota, USA.
  • Peissig PL; Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA.
  • Starren JB; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
J Am Med Inform Assoc ; 26(2): 143-148, 2019 02 01.
Article em En | MEDLINE | ID: mdl-30590574
ABSTRACT
To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacogenética / Prescrições de Medicamentos / Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas / Registros Eletrônicos de Saúde / Agregação de Dados Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacogenética / Prescrições de Medicamentos / Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas / Registros Eletrônicos de Saúde / Agregação de Dados Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article