Technologies and decision-support tools for health systems management: a scoping review of features and use cases

被引:0
|
作者
Bellei, Ericles Andrei [1 ,2 ]
Fernandes, Renato Vargas [1 ]
De Marchi, Ana Carolina Bertoletti [1 ,2 ]
机构
[1] Univ Passo Fundo UPF, Inst Hlth, Highway BR285, BR-99052900 Passo Fundo, RS, Brazil
[2] Univ Passo Fundo UPF, Inst Technol, Passo Fundo, RS, Brazil
关键词
Health services administration; health information management; decision support systems; software tools; facilities and services utilization; BIG DATA; INFORMATION-TECHNOLOGY; CARE; PERSPECTIVE; QUALITY; IMPACT;
D O I
10.1080/14737167.2024.2431244
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
IntroductionIn 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 coveredThis 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 opinionThese 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.
引用
收藏
页码:297 / 305
页数:9
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