智慧主动健康服务框架构建与应用策略研究

梁超, 王华, 汤立许

中国工程科学 ›› 2023, Vol. 25 ›› Issue (5) : 30-42.

PDF(1815 KB)
PDF(1815 KB)
中国工程科学 ›› 2023, Vol. 25 ›› Issue (5) : 30-42. DOI: 10.15302/J-SSCAE-2023.05.014
医药健康产业技术创新与发展研究
Orginal Article

智慧主动健康服务框架构建与应用策略研究

作者信息 +

Framework and Application Strategy of Smart Proactive Health Service

Author information +
History +

摘要

加快智慧主动健康服务的创新应用是新时代推进健康中国建设的重要构成,也是后疫情时期满足民众健康需求的有效 举措。本文围绕构建智慧主动健康服务新范式,以提高主动健康干预和管理能力、为民众提供高质量健康服务为主旨,分析 了主动健康服务的发展现状与困境,概括了其智慧化发展趋势;阐述了智慧主动健康服务的概念、内涵,并基于结构化分析 方法,凝练了智慧主动健康服务的技术体系;构建了智慧主动健康服务“一个中心、一个门户、三个端点”的应用框架并提 出了内外协同的生态系统;从技术集成和智能应用维度总结了智慧主动健康服务的应用场景与实践案例。研究建议:强化宏 观政策工具,改善自身发展环境;提高民众数字素养,重塑服务参与氛围;构建服务标准体系,筑牢内部数字生态;打造多 元供给格局,持续增进服务质量;加快“产学研用”融合,提升科技成果转化,以推进我国智慧主动健康服务的可持续、高质量发展。

Abstract

The innovative application of smart proactive health services is an important component of the Healthy China initiative and an effective measure to satisfy the diversified health needs of the public in the post-epidemic era. This study focuses on building a new paradigm of smart proactive health services and aims to improve proactive health intervention and management capabilities and provide high-quality health services for the public. It analyzes the current status and challenges of proactive health services, summarizes the smart development trend, and proposes the concept of smart proactive health services. Moreover, the study constructs a technical system of smart proactive health services using a structured analysis method, establishes an application framework consisting of one center, one portal, and three endpoints, and proposes a construction ecology featuring internal and external collaboration. The application scenarios and practical cases of the smart proactive health services are summarized in terms of technology integration and smart application. Furthermore, we propose the following suggestions to promote the sustainable and high quality development of smart proactive health services in China: (1) strengthening macro policy tools to improve the development environment; (2) improving the public’s digital literacy to reshape the atmosphere for service participation; (3) building a service standards system to improve the internal digital ecology; (4) creating a multiple supply pattern to continuously improve service quality; and (5) accelerating the integration of industry, academia, research, and application to enhance the commercialization of research findings.

关键词

智慧主动健康服务 / 运动促进健康 / 技术体系 / 应用框架 / 建设生态

Keywords

smart proactive health services / sports for health / technology system / application framework / construction ecology

引用本文

导出引用
梁超, 王华. 汤立许. 智慧主动健康服务框架构建与应用策略研究. 中国工程科学. 2023, 25(5): 30-42 https://doi.org/10.15302/J-SSCAE-2023.05.014

参考文献

[1]
郑伟 , 韩笑 , 吕有吉‍ . 中国人口慢性病的总体状况与群体差异 [J]. 社会科学辑刊 , 2022 3 : 139 ‒ 149 .
[2]
庄琦‍ . 始终把人民健康放在优先发展的战略地位——党的十八大以来健康中国行动的成就与经验 [J]. 管理世界 , 2022 , 38 7 : 24 ‒ 37 .
[3]
韩德民 , 卢九星 , 李星明 , 等‍ . 中国健康服务业发展战略研究 [J]. 中国工程科学 , 2017 , 19 2 : 21 ‒ 28 .
[4]
国务院办公厅‍ . 中共中央国务院印发《“健康中国2030”规划纲要》 [EBOL]. 2016-10-25 [ 2023-04-23 ]. http:www.go.cnxinwen2016-1025content_5124174. htm .
[5]
李祥臣 , 俞梦孙‍ . 主动健康: 从理念到模式 [J]. 体育科学 , 2020 , 40 2 : 83 ‒ 89 .
[6]
申曙光 , 吴庆艳‍ . 健康治理视角下的数字健康: 内涵、价值及应用 [J]. 改革 , 2020 12 : 132 ‒ 144 .
[7]
朱元利 , 赵皎卉 , 蔡勇‍ . 智慧健身服务的四元空间模型: 内涵特征、理论框架、关键问题与解决策略 [J]. 北京体育大学学报 , 2022 , 45 12 : 43 ‒ 55 .
[8]
王蕾 , 张戈 , 陈佩杰 , 等‍ . 体力活动纳入生命体征与运动转介制度: 国外经验与中国路径 [J]. 上海体育学院学报 , 2022 , 46 7 : 76 ‒ 88 .
[9]
邓悦 , 倪星‍ . 国外数字健康的内涵、应用与发展趋势 [J]. 国外社会科学 , 2021 1 : 104 ‒ 116 .
[10]
翟兴 , 肖源 , 王若佳 , 等‍ . 数智环境下智慧健康信息服务体系构建研究 [J]. 情报科学 , 2022 , 40 10 : 43 ‒ 50 .
[11]
沈克印 , 寇明宇 , 王戬勋 , 等‍ . 体育服务业数字化的价值维度、场景样板与方略举措 [J]. 体育学研究 , 2020 , 34 3 : 53 ‒ 63 .
[12]
陈菲 , 雷雪‍ . 基于智慧社区的医养服务协同框架及其供给机制研究 [J]. 中国全科医学 , 2017 , 20 24 : 2944 ‒ 2947 .
[13]
陈晓红 , 郭建军‍ . 主动健康背景下我国体医融合服务框架的构建 [J]. 首都体育学院学报 , 2021 , 33 5 : 474 ‒ 480 .
[14]
孙璨 , 唐尚锋 , 陈超亿 , 等‍ . 主动健康内涵分析 [J]. 中国公共卫生 , 2023 , 39 1 : 68 ‒ 72 .
[15]
王小宁 , 付磊 , 尹岭 , 等‍ . 全民健康与医药卫生事业发展战略研究 [J]. 中国工程科学 , 2017 , 19 2 : 1 ‒ 7 .
[16]
杨继星 , 陈家起 , 高奎亭 , 等‍ . 体育融入卫生健康治理的战略定位、现实困境及推进机制 [J]. 上海体育学院学报 , 2023 , 47 4 : 1 ‒ 11 .
[17]
张家彬 , 张亮 , 纪志敏‍ . 大健康产业的发展桎梏与纾困路径 [J]. 江淮论坛 , 2022 2 : 59 ‒ 64 .
[18]
李韬‍ . 数字健康产业有望成为拉动内需的新动力 [J]. 人民论坛 , 2020 36 : 103 ‒ 105 .
[19]
刘路 , 仇军‍ . 体育助力健康关口前移: 逻辑考量、现实困境与实现路径 [J]. 体育学刊 , 2023 , 30 2 : 35 ‒ 40 .
[20]
徐诗枧 , 闫静‍ . 论全民健身与全民健康深度融合——基于"主动健康"视域 [J]. 体育文化导刊 , 2023 2 : 1 ‒ 6 .
[21]
Zang Y, Zhang F, Di C, et al. Advances of flexible pressure sensors toward artificial intelligence and health care applications [J]. Materials Horizons, 2015, 2(2): 140‒156.
[22]
Rumbaugh J, Blaha M, Premerlani W, et al. Object-oriented modeling and design [M]. Englewood Cliffs: Prentice-hall, 1991.
[23]
Wang J T, Wang Y Y, Wei C L, et al. Smartphone interventions for long-term health management of chronic diseases: An integrative review [J]. Telemedicine Journal and E-health, 2014, 20(6): 570‒583.
[24]
Chen J, Ramanathan L, Alazab M. Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities [J]. Microprocessors and Microsystems, 2021, 81: 1‒10.
[25]
Walrave B, Talmar M, Podoynitsyna K S, et al. A multi-level perspective on innovation ecosystems for path-breaking innovation [J]. Technological Forecasting and Social Change, 2018, 136: 103‒113.
[26]
张建楠 , 李莹莹 , 顾宴菊 , 等‍ . 健康医疗数据共享基本原则探讨 [J]. 中国工程科学 , 2020 , 22 4 : 93 ‒ 100 .
[27]
华为运动健康实验室揭秘 [J]. 国际公关 , 2022 9 : 195 ‒ 196 .
[28]
NajafiKhoshnoo S, Kim T, Tavares-Negrete J A, et al. A 3D nanomaterials‐printed wearable, battery‐free, biocompatible, flexible, and wireless pH sensor system for real‐time health monitoring [J]. Advanced Materials Technologies, 2023, 8(8): 1‒12.
[29]
Imani S, Bandodkar A J, Vinu Mohan A M, et al. A wearable chemical-electrophysiological hybrid biosensing system for real-time health and fitness monitoring [J]. Nature Communications, 2016, 7(1): 116‒123.
[30]
Zhou T, Li X F, Zhao H. Med-PPPHIS: Blockchain-based personal healthcare information system for national physique monitoring and scientific exercise guiding [J]. Journal of Medical Systems, 2019, 43(9): 305‒317.
[31]
James S, Matthew W, Robert J C, et al. The national referall database: An open dataset of exercise referral schemes across the UK [J]. International Journal of Environmental Research and Public Health, 2021, 18(9): 29‒46.
[32]
Pramanik M I, Lau R Y K, Demirkan H, et al. Smart health: Big data enabled health paradigm within smart cities [J]. Expert Systems with Applications, 2017, 87: 370‒383.
[33]
成都市国民体质监测中心‍ . 成都市运动促进健康服务中 [EBOL]. 2022-08-30 [ 2023-04-23 ]. http:www.scxh.net .
[34]
Joachim S, Forkan A R M, Jayaraman P P, et al. A nudge-inspired AI-driven health platform for self-management of diabetes [J]. Sensors, 2022, 22(12): 47‒53.
[35]
Perrett T, Masullo A, Damen D, et al. Personalized energy expenditure estimation: Visual sensing approach with deep learning [J]. JMIR Formative Research, 2022, 6(9): 360‒372.
[36]
Patil V, Narayan J, Sandhu K, et al. Integration of virtual reality and augmented reality in physical rehabilitation: A state-of-the-art review [J]. Revolutions in Product Design for Healthcare, 2022, 2(3): 177‒205.
[37]
Thamotharan P, Srinivasan S, Kesavadev J, et al. Human digital twin for personalized elderly type 2 diabetes management [J]. Journal of Clinical Medicine, 2023, 12(6): 2094‒2102.
[38]
Nahoko Y, Daisuke U, Mitsuru M, et al. Social digital cyborgs: The collaborative design process of JIZAI ARMS [R]. New York: The 2023 CHI Conference on Human Factors in Computing Systems, 2023.
基金
中国工程院咨询项目“全民健康管理工程研究”(2022-XBZD-21);国家社会科学基金项目(22BTY104);湖北省高等学校哲学社会科学研究重点项目(21D090);湖北省高等学校哲学社会科学研究重大项目(20ZD079)
PDF(1815 KB)

Accesses

Citation

Detail

段落导航
相关文章

/