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Leveraging Existing Tools in Electronic Health Record Systems to Automate Clinical Registry Compilation.
Williams, Alisha; Goedicke, William; Tissera, Kristin A; Mankarious, Leila A.
Afiliação
  • Williams A; Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Goedicke W; Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Tissera KA; Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Mankarious LA; Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
Otolaryngol Head Neck Surg ; 162(3): 408-409, 2020 03.
Article em En | MEDLINE | ID: mdl-31961772
Clinical registries have proven beneficial by providing a resource to address research questions, monitor care, and identify suitable subjects for clinical studies. Despite a well-organized registry, population is often low because of the human capital required. The increasing prevalence of electronic medical health records provides the opportunity to integrate registry compilation into routine patient encounters. Here we describe how one tool existing within the Epic Medical Record software suite, Smart Phrases, can be adapted to automate population of a hearing loss patient registry. The usage rate of Smart Phrases was high and resulted in a significant reduction in the time burden associated with registry population. Use of Smart Phrases could become an important factor in the design of future registries that allow broad uptake and convenient data input.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Registros Eletrônicos de Saúde / Perda Auditiva Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema de Registros / Registros Eletrônicos de Saúde / Perda Auditiva Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article