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

IF 1.8 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES Expert Review of Pharmacoeconomics & Outcomes Research Pub Date : 2024-11-18 DOI:10.1080/14737167.2024.2431244
Ericles Andrei Bellei, Renato Vargas Fernandes, Ana Carolina Bertoletti De Marchi
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Abstract

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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卫生系统管理技术和决策支持工具:功能和用例范围审查。
导言:面对日益增长的患者数量、健康需求和经济限制,现代医疗保健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,但人们对这些工具如何适用于医疗系统管理的认识还存在差距:本综述于 2023 年 10 月在主要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 2,048 条记录中筛选出了 12 项研究,这些研究涉及多种技术,包括决策分析工具、机器学习算法和数据仪表板,所有这些技术都被证明对优化资源分配、财务管理和患者护理至关重要:专家观点:这些技术在改善决策流程、运营效率和整体医疗效果方面已显示出巨大潜力。本综述强调了这些技术和工具在提高复杂医疗系统的可管理性和可持续性方面所发挥的作用。它还强调了持续研究的必要性,以进一步调整技术发展,满足医疗保健行业不断变化的需求,最终达到提高系统效率和改善患者护理的目的。
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来源期刊
Expert Review of Pharmacoeconomics & Outcomes Research
Expert Review of Pharmacoeconomics & Outcomes Research HEALTH CARE SCIENCES & SERVICES-PHARMACOLOGY & PHARMACY
CiteScore
4.00
自引率
4.30%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Expert Review of Pharmacoeconomics & Outcomes Research (ISSN 1473-7167) provides expert reviews on cost-benefit and pharmacoeconomic issues relating to the clinical use of drugs and therapeutic approaches. Coverage includes pharmacoeconomics and quality-of-life research, therapeutic outcomes, evidence-based medicine and cost-benefit research. All articles are subject to rigorous peer-review. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion – a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points.
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