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Systèmes d'aide à la décision clinique pour la pédiatrie en santé

Beynon, F. and Salzmann, T. and Faye, P. M. and Thiongane, A. and Ndiaye, O. and Luwanda, L. B. and Alladiguimbai, M. and Triclin, F. and Harper, M. and Elkin, J. A. and Delaigue, S. and Tan, R.. (2023) Systèmes d'aide à la décision clinique pour la pédiatrie en santé. Revue médicale suisse, 19 (836). pp. 1398-1403.

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Abstract

Effective, scalable and sustainable strategies to improve quality of care are needed to address the substantial burden of preventable deaths of children under-five in resource-constrained settings. Clinical decision support systems (CDSS), digital tools which generate recommendations for healthcare providers based on patient-specific information, show promise. By strengthening adherence to evidence-based assessment, diagnosis and management and generating high-quality data, CDSS can improve quality care - care that is effective, safe, people-centered, timely, equitable, integrated and efficient. Designing and implementing CDSS that deliver this impact is a complex and iterative process. We advocate for collaboration on developing and evaluating these tools to guide their implementation for maximal impact.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Swiss Centre for International Health (SCIH) > Digital Health Unit (Raab)
UniBasel Contributors:Beynon, Fenella and Salzmann, Talia and Tan, Rainer
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Médecine & hygiène
ISSN:1660-9379
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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edoc DOI:
Last Modified:24 Oct 2023 12:30
Deposited On:24 Oct 2023 09:48

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