| 胡莹,周子涵,陈朵怡,王慧莹,何丽娟,袁微微.数据驱动的智能医疗产品服务系统设计研究[J].包装工程,2022,43(24):28-38. |
| 数据驱动的智能医疗产品服务系统设计研究 |
| Design of Data-driven Smart Healthcare Product-Service System |
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| DOI：10.19554/j.cnki.1001-3563.2022.24.004 |
| 中文关键词: 智能产品服务系统 智能医疗 数据驱动 价值创造 |
| 英文关键词: smart product-service system smart healthcare data-driven value creation |
| 基金项目:国家重点研发计划(2021YFF0900605);国家社科基金艺术学项目(22BG126);湖南省自然科学基金项目(2022JJ30161);湖南省哲学社会科学基金一般项目(19YBA087);中国学位与研究生教育学会研究课题(2020ZDA14);湖南省普通高等学校教学改革研究项目(HNJG-2021-0035) |
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| 中文摘要: |
| 目的 面向医疗领域，探究以数据驱动的智能产品服务系统框架，以数据驱动价值创造，为新型医疗系统解决方案提供理论指导。方法 运用文献研究和典型案例分析法，概述了目前医疗服务的现状与挑战，梳理了智能产品服务系统的发展脉络，并通过文献的归纳整合，对面向医疗领域的智能产品服务系统数据进行总结分类，构建了以“产品—服务—环境—用户”四个方面数据驱动的智能医疗产品服务系统设计框架，结合代表性的医疗产品案例，详细阐述了具体的数据驱动范式和价值共创过程。结论 智能产品服务系统在医疗领域具有巨大的研究潜力，业务流程和服务的数字化，加上新的信息通信技术的出现，使信息的集成与整合创新成为可能，医疗场景的海量数据也得以发挥更大的潜在价值。数据驱动的智能医疗产品服务系统设计框架为该领域的设计策略研究和方法开发奠定了基础，同时为数据驱动的智能医疗产品服务系统设计实践提供了一定理论支撑和指导。 |
| 英文摘要: |
| The work aims to explore the framework of a data-driven smart product-service system for the healthcare field, to drive value creation with data and provide theoretical guidance for new healthcare system solutions. Through literature research and typical case analysis, the current status and challenges of healthcare services were outlined, and the development of smart product-service systems was sorted out. Through consolidation of literature, the smart product- service system data for healthcare was summarized and classified, and a four-dimensional data-driven framework for design of smart healthcare product service systems was constructed based on "product-service-environment-user", with the specific data-driven paradigm and value co-creation process detailed in the context of representative healthcare product cases. The smart product-service system has great potential for research in the healthcare field. The digitization of business processes and services, combined with the emergence of new information communication technologies, makes information integration and innovation possible. Through the integration and innovation of information, the massive amount of data in healthcare scenarios can be brought into greater potential value. The data-driven smart product-service system design framework lays a foundation for research and development of design strategies and methods in this field, and provides some theoretical support and guidance for design practice of data-driven intelligent medical product service systems. |
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