Bellei Ericles Andrei, Fernandes Renato Vargas, De Marchi Ana Carolina Bertoletti
Institute of Health, University of Passo Fundo (UPF), Passo Fundo, RS, Brazil.
Institute of Technology, University of Passo Fundo (UPF), Passo Fundo, RS, Brazil.
Expert Rev Pharmacoecon Outcomes Res. 2024 Nov 18:1-9. doi: 10.1080/14737167.2024.2431244.
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.
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.
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.
面对不断增长的患者数量、健康需求和经济限制,现代医疗系统迫切需要创新的管理解决方案。尽管有一系列工具可用于应对这些挑战,但对于如何将这些工具定制用于卫生系统管理,仍存在理解上的差距。
本综述于2023年10月在关键的卫生管理和技术数据库Medline、Embase、IEEE Xplore和ACM数字图书馆中进行,旨在研究卫生系统管理工具的应用、特点和实际影响。从总共2048条记录中,选取了12项研究,这些研究涵盖了多种技术,包括决策分析工具、机器学习算法和数据仪表板,所有这些在优化资源分配、财务管理和患者护理方面都已证明至关重要。
这些技术在改善决策过程、运营效率和整体医疗结果方面显示出巨大的潜力。本综述强调了这些技术和工具在增强复杂医疗系统的可管理性和可持续性方面所起的作用。它还强调需要持续进行研究,以使技术发展与医疗行业不断变化的需求进一步保持一致,最终目标是提高系统效率并改善患者护理。