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A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study.
Martinez-Garcia, Alicia; Naranjo-Saucedo, Ana Belén; Rivas, Jose Antonio; Romero Tabares, Antonio; Marín Cassinello, Ana; Andrés-Martín, Anselmo; Sánchez Laguna, Francisco José; Villegas, Roman; Pérez León, Francisco De Paula; Moreno Conde, Jesús; Parra Calderón, Carlos Luis.
Afiliação
  • Martinez-Garcia A; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Naranjo-Saucedo AB; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Rivas JA; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Romero Tabares A; Publications Department, Andalusian Institute of Emergencies and Public Safety, Seville, Spain.
  • Marín Cassinello A; Paediatrics Unit, Virgen Macarena University Hospital, Seville, Spain.
  • Andrés-Martín A; Paediatrics Unit, Virgen Macarena University Hospital, Seville, Spain.
  • Sánchez Laguna FJ; Department of Information Systems Coordination, Andalusian Health Service, Seville, Spain.
  • Villegas R; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Pérez León FP; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Moreno Conde J; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
  • Parra Calderón CL; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
JMIR Med Inform ; 9(3): e13182, 2021 Mar 10.
Article em En | MEDLINE | ID: mdl-33709932
ABSTRACT

BACKGROUND:

The evidence-based medicine (EBM) paradigm requires the development of health care professionals' skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routine of clinical practice will improve the patients' health care, increase patient safety, and optimize resources use.

OBJECTIVE:

The aim of this study is to develop and evaluate a new tool (KNOWBED system) as a clinical decision support system to support scientific knowledge, enabling health care professionals to quickly carry out decision-making processes based on EBM during their routine clinical practice.

METHODS:

Two components integrate the KNOWBED system a web-based knowledge station and a mobile app. A use case (bronchiolitis pathology) was selected to validate the KNOWBED system in the context of the Paediatrics Unit of the Virgen Macarena University Hospital (Seville, Spain). The validation was covered in a 3-month pilot using 2 indicators usability and efficacy.

RESULTS:

The KNOWBED system has been designed, developed, and validated to support clinical decision making in mobility based on standards that have been incorporated into the routine clinical practice of health care professionals. Using this tool, health care professionals can consult existing scientific knowledge at the bedside, and access recommendations of clinical protocols established based on EBM. During the pilot project, 15 health care professionals participated and accessed the system for a total of 59 times.

CONCLUSIONS:

The KNOWBED system is a useful and innovative tool for health care professionals. The usability surveys filled in by the system users highlight that it is easy to access the knowledge base. This paper also sets out some improvements to be made in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha