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Technologies and decision-support tools for health systems management: a scoping review of features and use cases
Ericles Andrei Bellei1,2, Renato Vargas Fernandes1, Ana Carolina Bertoletti De Marchi1,2
1Institute of Health, University of Passo Fundo (UPF), Passo Fundo, RS, Brazil.
Introduction:
In the face of growing patient volumes, health requirements, and economic constraints, modern healthcare systems are in dire need of innovative management solutions. Despite a range of tools available to tackle these challenges, there's a gap in the understanding of how these tools are tailored for health systems management.
Areas Covered:
This review, conducted in October 2023 across key health administration and technology databases Medline, Embase, IEEE Xplore, and ACM Digital Library, aims to examine the applications, characteristics, and real-world impacts of health systems management tools. From a total of 2,048 records, 12 studies were selected that span a variety of technologies, including decision analysis tools, machine learning algorithms, and data dashboards, all of which have proven critical in optimizing resource allocation, financial management, and patient care.
Expert Opinion:
These technologies have shown substantial promise in improving decision-making processes, operational efficiency, and overall healthcare outcomes. This review highlights the role these technologies and tools play in enhancing the manageability and sustainability of complex healthcare systems. It also underscores the need for ongoing research to further align technological developments with the evolving needs of the healthcare sector, ultimately aiming to boost system efficiency and improve patient care.
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