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Intensive Care Quality Indicators Dashboard Using Observational Medical Outcomes Partnership Common Data Model.
Delange, Boris; Bouzille, Guillaume; Popoff, Benjamin; Pierre-Jean, Morgane; Maamar, Adel; Cuggia, Marc.
Affiliation
  • Delange B; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Bouzille G; Service de Maladies Infectieuses et Réanimation Médicale, Hôpital Pontchaillou, Université de Rennes, 2, rue Henri Le Guilloux, 35033 Rennes cedex 9, France.
  • Popoff B; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Pierre-Jean M; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Maamar A; CHU Rennes, INSERM, LTSI-UMR 1099, Univ Rennes, 35000 Rennes, France.
  • Cuggia M; Service de Maladies Infectieuses et Réanimation Médicale, Hôpital Pontchaillou, Université de Rennes, 2, rue Henri Le Guilloux, 35033 Rennes cedex 9, France.
Stud Health Technol Inform ; 316: 1605-1606, 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39176517
ABSTRACT
This paper presents the development of a visualization dashboard for quality indicators in intensive care units (ICUs), using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The dashboard enables the user to visualize quality indicator data using histograms, pie charts and tables. Our project uses the OMOP CDM, ensuring a seamless implementation of our dashboard across various hospitals. Future directions for our research include expanding the dashboard to incorporate additional quality indicators and evaluating clinicians' feedback on its effectiveness.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Indicators, Health Care / Intensive Care Units Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: France Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Indicators, Health Care / Intensive Care Units Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: France Country of publication: Netherlands