卫生领域的数字化转型:人工智能如何提高医疗系统的绩效》。

Health systems and reform Pub Date : 2024-12-17 Epub Date: 2024-10-22 DOI:10.1080/23288604.2024.2387138
África Periáñez, Ana Fernández Del Río, Ivan Nazarov, Enric Jané, Moiz Hassan, Aditya Rastogi, Dexian Tang
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引用次数: 0

摘要

移动医疗具有彻底改变医疗服务和患者参与的潜力。在这项工作中,我们将讨论如何将人工智能融入以供应链运营、患者管理和能力建设为重点的数字医疗应用,以及其他用例,从而改善医疗系统和公共卫生绩效。我们介绍了 Causal Foundry 人工智能和强化学习平台,该平台允许提供自适应干预措施,其影响可通过实验和实时监控进行优化。该系统可整合多种数据源和数字健康应用。该平台可灵活连接各种移动医疗应用和数字设备,并根据过去的数据和预测发送个性化建议,从而显著提高数字工具对医疗系统成果的影响。在资源匮乏的环境中,这种方法对医疗成果的影响可能是决定性的。这一框架同样适用于提高不存在资源匮乏问题的卫生系统的效率。
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The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems.

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient management, and capacity building, among other use cases, can improve the health system and public health performance. We present the Causal Foundry Artificial Intelligence and Reinforcement Learning platform, which allows the delivery of adaptive interventions whose impact can be optimized through experimentation and real-time monitoring. The system can integrate multiple data sources and digital health applications. The flexibility of this platform to connect to various mobile health applications and digital devices, and to send personalized recommendations based on past data and predictions, can significantly improve the impact of digital tools on health system outcomes. The potential for resource-poor settings, where the impact of this approach on health outcomes could be decisive, is discussed. This framework is similarly applicable to improving efficiency in health systems where scarcity is not an issue.

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