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Clinical Decision Support System for PIM in Elderly Patients: Implementation and Initial Evaluation in Ambulatory Care.
Frutos, Eliana; Kakazu, Martin; Tajerian, Matias; Gaiera, Alejandro; Rubin, Luciana; Otero, Carlos; Luna, Daniel.
Afiliação
  • Frutos E; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Kakazu M; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Tajerian M; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Gaiera A; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Rubin L; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Otero C; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Luna D; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Stud Health Technol Inform ; 294: 475-479, 2022 May 25.
Article em En | MEDLINE | ID: mdl-35612125
ABSTRACT
The high prevalence of PIMs in elderly is a major healthcare concern and indicates the need for medication monitoring systems. Most PIM CDSS have shown positive effects respecting PIM prescription but these results were more consistently in hospital settings compared with ambulatory care. We describe the post-implementation evaluation of a PIM CDSS for general practitioners (GP) in the ambulatory setting and explore GP interactions with the PIM alerts. The CDSS generated 3218 unique alerts and involved 2863 elderly patients. Benzodiazepines was the drug with the most alerts triggered. Only 129 (4 %) were opened by GP during patient appointments. We need to develop an understanding of how alerts should be designed and display information to support the workflow of general practitioners. Pos-implementation evaluations are the key of CDSS improvements.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Clínicos Gerais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Clínicos Gerais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article