识别人工智能在医疗保健领域的应用机会——更新国家医疗保健和社会服务

P. Tyrväinen, M. Silvennoinen, Karoliina Talvitie-Lamberg, Anniina Ala-Kitula, Reija Kuoremäki
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引用次数: 3

摘要

在过去的三十年里,各种各样的人工智能技术已经被部署到特定的医疗保健问题上,取得了不同程度的成功,而人工智能能力与应用机会的广度缺乏系统的匹配。在本文中,我们描述了在芬兰的区域和国家层面确定将人工智能部署到医疗保健和社会服务的机会的过程。该项目涉及从政府机构到企业家等各种背景的大量利益攸关方。所描述的过程包括应用程序或解决方案的想法产生,以及使用设计思维方法在研讨会上对其进行阐述。最终的想法池被筛选为34个最佳用例描述,这些用例描述通过一个架构设计过程来识别本文中报告的这些设计组件所需的AI功能。用例的潜在用例被选择用于原型开发。该过程的后续步骤包括可行性原型以及对解决方案和应用程序的经济和商业价值的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying opportunities for AI applications in healthcare — Renewing the national healthcare and social services
A vast variety of artificial intelligence techniques have been deployed to specific healthcare problems during the last thirty years with varying levels of success while there is a shortage of systematic matching of AI capabilities with the breadth of application opportunities. In this paper, we describe the process of identifying opportunities for deploying artificial intelligence to healthcare and social services on regional and national levels in Finland. The project involved a large number of stakeholders from a variety of backgrounds ranging from governmental agencies to entrepreneurs. The process described includes idea generation of an application or solution and its elaboration in workshops using a design thinking method. The resulting idea pool was filtered down to 34 best use case descriptions, which went through an architectural design process identifying AI capabilities needed in the components of these designs reported in this paper. The potential ones of the use cases were selected for prototype development. The subsequent steps in the process include feasibility prototypes and evaluation of the economic and business value of the solutions and applications.
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