在人工智能时代利用数字创新和应用支持卫生系统管理:研究计划协议

Ericles Andrei Bellei, Ana Carolina Bertoletti De Marchi
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摘要

由于服务需求增加、人口老龄化、严格的法规和经济限制,世界各地的医疗系统正承受着越来越大的压力,这使得医疗管理的效率和效能成为关键因素。在这一复杂性的核心问题上,医疗管理人员寻求优化资源和改善医疗服务,而此时采用包括人工智能(AI)在内的数字技术已变得越来越势在必行。这种必要性不仅反映了对创新的追求,也反映了适应不断变化的环境的紧迫性。然而,如何有效地描述这些技术的特点、可用性并将其作为支持工具,仍然是一个新出现的挑战,文献对此探讨不足。为此,本项目建议制定一个理论和实践指南框架,以便在人工智能时代在卫生系统中实施和管理数字工具。该项目采用混合方法,包括系统回顾、现成商业解决方案分析以及对卫生管理人员和从业人员的定性研究,旨在绘制当前技术使用图,找出差距和最佳实践,并为未来方向提供指导。该项目还打算与该领域的专业人员共同开发,以确保所制定的指南具有相关性和实际适用性。预计研究成果不仅能为科学文献做出贡献,还能为优化数字技术在健康管理中的应用提供循证指导,促进创新数字解决方案的开发和采用发生重大转变。
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Championing health systems management with digital innovation and applications in the age of artificial intelligence: protocol for a research program
Health systems are experiencing increasing pressures worldwide due to heightened service demands, demographic aging, stringent regulations, and economic constraints, making efficiency and efficacy in health management critical aspects. At the heart of this complexity, health managers seek to optimize resources and improve care delivery at a time when the adoption of digital technologies, including artificial intelligence (AI), becomes increasingly imperative. This necessity reflects not only the pursuit of innovation but also the urgency to adapt to an ever-evolving environment. However, the effective characterization, availability, and incorporation of these technologies as support tools still represent an emerging challenge that is insufficiently explored in the literature. In response, this project proposes the development of a framework of theoretical and practical guidelines for the implementation and management of digital tools in health systems in the age of AI. Adopting a mixed-methods approach that includes systematic review, analyses of commercial off-the-shelf solutions, and qualitative studies with health managers and practitioners, the aim is to map current technology use, identify gaps and best practices, and provide a guide for future direction. This project also intends to develop in co-creation with professionals in the field to ensure the relevance and practical applicability of the developed guidelines. The results are expected to not only contribute to the scientific literature but also offer an evidence-based guide to optimizing the use of digital technologies in health management, promoting a significant transformation in the development and adoption of innovative digital solutions.
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