Research progress on application of digital health technology in health management of chronic diseases

Abstract

Abstract:

At present，there are some problems in the health management of chronic diseases in China，such as insufficient self-care awareness，limited management scope，and poor compliance. The digital health technology can achieve personalized and precise interventions by improving management efficiency，expanding the scope of monitoring，and enhancing patient compliance. This paper reviews the application form and effect of digital health technology in the health management of chronic diseases，analyzes the existing shortcomings and proposes corresponding solutions，aiming to provide corresponding references for the application and development of digital health technology in the health management of patients with chronic diseases in China in the future.

Key words: Digital health technology, Chronic disease, Health management, Nursing, Virtual reality technology, Artificial intelligence, Research progress

CLC Number:

R181.31

YANG Jing, ZHOU Xiuling, WANG Lijuan, LI Yu, ZHANG Shuangxin, MU Caixia. Research progress on application of digital health technology in health management of chronic diseases. [J]OCCUPATION AND HEALTH, 2026, 42(7): 993-997.

References 56

[1]	CHEN J, DENG M, ZHENG R, et al. Global,regional,and national trends in chronic kidney disease burden(1990-2021):A systematic analysis of the global burden of disease in 2021[J]. Trop Med Health, 2025, 53(1):26. DOI
[2]	解子为, 孙晓娜, 刘春娥. 智慧护理在慢性病护理中应用的研究进展[J]. 中国慢性病预防与控制, 2025, 33(2):145-148,152.
[3]	周宝森. 慢性病管理的挑战、策略与进展[J]. 健康中国观察, 2025(1):78-81.
[4]	国家卫生健康委关于印发《全国护理事业发展规划(2021—2025年)》的通知[J]. 中华人民共和国国家卫生健康委员会公报, 2022(4):4-10.
[5]	尚少梅, 周伟娇, 梁叶田, 等. "互联网+"慢性病健康管理模式的进展与展望[J]. 中国护理管理, 2024, 24(11):1621-1624.
[6]	DHINGRA D, DABAS A. Global strategy on digital health[J]. Indian Pediatr, 2020, 57(4):356-358. PMID
[7]	ALTHOBIANI M A, RUSSELL A M, JACOB J, et al. The role of digital health in respiratory diseases management:A narr-ative review of recent literature[J]. Front Med, 2025, 12:1361667. DOI URL
[8]	张浩, 许官学, 王漫, 等. 数字健康技术在急性心肌梗死患者居家心脏康复中的研究进展[J]. 中华护理杂志, 2025, 60(3):373-379.
[9]	EI-RASHIDY N, EI-SAPPAGH S, ISLAM S M R, et al. Mobile health in remote patient monitoring for chronic diseases:Principles,trends,and challenges[J]. Diagnostics, 2021, 11(4):607. DOI URL
[10]	易文. 中电通信推“心电图监测”健康手机[N]. 电子资讯时报,2008-01-24(A06).
[11]	CHOI J Y, GEORGE M, YUN S Y. Development of a smartphone application for Korean patients with chronic obstructive pulmonary disease:Self-monitoring based action plans[J]. Appl Nurs Res, 2021, 61:151475. DOI URL
[12]	陈坤. 基于微信的冠心病患者游戏化自我管理平台的构建与初步应用[D]. 北京: 北京中医药大学, 2023.
[13]	韦哲, 石恒兵, 曹彤, 等. 国内外智能可穿戴设备的研究进展[J]. 中国医学装备, 2020, 17(10):18-21.
[14]	GAL R, MAY A M, VAN-OVERMEEREN E J, et al. The effect of physical activity interventions comprising wearables and smartphone applications on physical activity:A systematic review and meta-analysis[J]. Sports Med Open, 2018, 4:1-15. DOI URL
[15]	《健康管理》编辑部. 可穿戴健康医疗设备前景广阔[J]. 健康管理, 2014,(2):25-31.
[16]	倪晨旭, 汤佳, 邵宝魁, 等. 智能穿戴设备与老年健康——来自智能手环的证据[J]. 人口学刊, 2023, 45(6):50-67.
[17]	王梦寻, 占琦菲, 陈钦卓, 等. 具有人脸识别功能的智能药箱控制器设计[J]. 工业控制计算机, 2025, 38(1):51-52.
[18]	余新艳, 杨建云, 禹彩云, 等. 单导联可穿戴心电设备结合散点图在“互联网+慢病管理”中的价值探讨[J]. 中国心血管病研究, 2020, 18(8):734-737.
[19]	HELM J M, SWIERGOSZ A M, HAEBERLE H S, et al. Machine learning and artificial intelligence:Definitions,applic-ations,and future directions[J]. Curr Rev Musculoskelet Med, 2020, 13:69-76. DOI
[20]	WANG X, XU H, REN Y, et al. Advances in implantable capsule robots for monitoring and treatment of gastrointestinal diseases[J]. Mat Sci and Eng:Rep, 2025, 163:100943. DOI URL
[21]	LI L, XU W, FANG Y, et al. Construction and validation of a fall risk prediction model in elderly maintenance hemodi-alysis patients:A multicenter prospective cohort study[J]. Ren Fail, 2025, 47(1):2455524. DOI URL
[22]	VIANELLO A, OLIVELLI M, DONATI M, et al. Medical expert system for intelligent telemonitoring of patients with chronic heart failure:Preliminary validation and perspectives[J]. Circ Heart Fail, 2025, 18(1):e012478.
[23]	蒋奕帆, 陈杨, 黄清. 深度学习与机器视觉辅助脑卒中康复后期训练系统[J]. 机械制造, 2025, 63(1):35-40.
[24]	MICHAUD T L, ERN J, SCOGGINS D, et al. Assessing the impact of telemonitoring-facilitated lifestyle modifications on diabetes outcomes:A systematic review and meta-analysis[J]. Telemed J E Health, 2020, 27(2):124-136. DOI URL
[25]	PEYROTEO M, FERREIRA I A, ELVAS L B, et al. Remote monitoring systems for patients with chronic diseases in primary health care:Systematic review[J]. JMIR Mhealth Uhealth, 2021, 9(12):e28285. DOI URL
[26]	徐超. 家庭远程慢性病监测管理系统:区域协同医疗服务平台[J]. 通信世界, 2008,(39):41.
[27]	代文娟, 冀峰. 基于“5G+AI”技术的远程心电监测系统研究[J]. 中国现代医生, 2024, 62(7):94-96.
[28]	FELDMAN D I, FUDIM M. Remote monitoring can transform chronic disease care for rural americans:A call to action for medicare[J]. Am J Med, 2025, 138(6):950-952. DOI URL
[29]	鞠惠, 王湘云, 李玲, 等. 虚拟现实技术在老年慢病中的应用进展[J]. 牡丹江医学院学报, 2023, 44(6):128-131.
[30]	SPYRKA K, ROJCZYK E, BRELA J, et al. Virtual reality as a promising method of pain relief in patients with venousleg ulcers[J]. Int Wound J, 2024, 21(10):e70082. DOI URL
[31]	THAKUR A, RISHI P, SIVACH P. The Effectiveness of virtual reality-based rehabilitation versus conventional methods in enhancing functional outcomes for post-operative lower limb patients:A systematic review[J]. Mus Care, 2025, 23(1):e70061.
[32]	TURON-SKRZYPINSKA A, MINKO A, RYL A, et al. Analysis of changes in PCSK9 and TNF-α concentrations in response to physical exercises using virtual reality in patients in the fifth stage of chronic kidney disease undergoing hemodialysis[J]. BMC Nephrol, 2025, 26(1):1. DOI
[33]	王芳, 苏静, 孙菲菲, 等. 老年慢性病患者健康自我管理能力现状及影响因素[J]. 山东第一医科大学(山东省医学科学院)学报, 2023, 44(8):587-591.
[34]	ZHOU Z, JIN D, HE J, et al. Digital health platform for improving the effect of the active health management of chronic diseases in the community:Mixed methods exploratory study[J]. J Med Internet Res, 2024, 26:e50959. DOI URL
[35]	SONNERFORS P, NORDLIN A K, NYKVIST M, et al. Interactive 3D visualisation technique used in pulmonary rehabilitation in chronic obstructive pulmonary disease:A randomised controlled study evaluating quality of life,compliance and use of health care[J]. Digit Health, 2025, 11:20552076241308940.
[36]	HUANG X, XIANG X, LIU Y, et al. The use of gamification in the self-management of patients with chronic diseases:Scoping review[J]. JMIR Serious Games, 2023, 11:e39019. DOI URL
[37]	BERGLUND A, JAARSMA T, ORADD H, et al. The application of a serious game framework to design and develop an exergame for patients with heart failure[J]. JMIR Format Res, 2024, 8:e50063. DOI URL
[38]	CHOKPHUKHIAO C, PATTARANIT P, TUN W S T, et al. Improving health awareness with real-time monitoring througha three-dimensional visualized digital health avatar[J]. Smart Health, 2024, 34:100522. DOI URL
[39]	TAYON K G, CARLISLE A E, TAYLOR B J, et al. App-timizing cardiac rehabilitation:Enhancing patient engagement with mobile health applications[J]. Cur Card Risk Rep,2024:1-16.
[40]	王思齐, 陆秦妍, 徐馨香, 等. 在线医患交互对慢性病患者依从性影响研究:基于患者特征与满意度视角[J]. 信息资源管理学报, 2022, 12(6):70-83.
[41]	李春波, 张彩迪, 杨璧西, 等. 基于虚拟现实技术治疗抑郁障碍的专家共识[J]. 心理学通讯, 2024, 7(2):94-106.
[42]	DOOSTI P, ETEMADIFAR S, ALIAKBARI F. The impact of a continuous care model utilizing a smartphone application on quality of life and anxiety levels among gynecologic cancer patients:A randomized controlled trial[J]. BMC Nurs, 2024, 23(1):706. DOI
[43]	YANG M S, WANG H, CHOI Y K. The association between the use of digital health management tools and subjective well-being among older adults[J]. Innovat Aging, 2021, 5:498.
[44]	KAIHARA T, SCHERRENBERG M, INTAN-GOEY V, et al. Efficacy of digital health interventions on depression and anxiety in patients with cardiac disease:A systematic review and meta-analysis[J]. Eur Heart J Digit Health, 2022, 3(3):445-454.
[45]	周军燕, 王文军, 毕振强. 农村老年人慢性病患病情况及医疗卫生保障状况调查[J]. 中国热带医学, 2012, 12(1):49-51.
[46]	WANG H N, LUO P, LIU S, et al. Effectiveness of internet-based telehealth programs in patients with hip or knee osteoarthritis:Systematic review and Meta-analysis[J]. J Med Internet Res, 2024, 26:e55576. DOI URL
[47]	李洪涛, 秦善春. 区域医联体模式下应用区块链技术开展慢病管理的发展策略研究[J]. 中国数字医学, 2023, 18(1):112-118.
[48]	王慧敏, 孙建萍, 吴红霞. 老年慢性病病人久坐行为的研究进展[J]. 护理研究, 2021, 35(1):110-114.
[49]	陈允灏, 王汉松, 袁加俊, 等. 老年慢性病患者数字健康技术焦虑现状及影响因素研究[J]. 医学信息学杂志, 2024, 45(11):9-14,21.
[50]	李元炜. 中老年人智慧医疗服务使用意愿影响因素研究[D]. 成都: 西南交通大学, 2023.
[51]	韩美玲, 卜凡莉, 李志菊, 等. 合肥市3 418例慢性病患者对“互联网+护理服务”认知及需求现况[J]. 中国临床研究, 2024, 37(12):1950-1954.
[52]	MEISSEN H, GONG M N, WONG A K I, et al. The future of critical care:Optimizing technologies and a learning healthcare system to potentiate a more humanistic approach to critical care[J]. Crit Care Explor, 2022, 4(3):e0659.
[53]	SONG S, SEO Y B, HWANG S Y, et al. Digital phenotyping of geriatric depression using a community-based digital mental health monitoring platform for socially vulnerable older adults and their community caregivers:6-Week living lab single-arm pilot study[J]. JMIR Mhealth Uhealth, 2024, 12(1):e55842. DOI URL
[54]	BUCHANAN C, HOWITT M L, WILSON R, et al. Predicted influences of artificial intelligence on the domains of nursing:Scoping review[J]. JMIR Nurs, 2020, 3(1):e23939.
[55]	LIU Y, WANG B. Advanced applications in chronic disease monitoring using IoT mobile sensing device data,machine learning algorithms and frame theory:A systematic review[J]. Front Public Health, 2025, 13:1510456. DOI URL
[56]	KOSOWICZ L, TRAN K, KHANH T T, et al. Lessons for Vietnam on the use of digital technologies to support patient-centered care in low-and middle-income countries in the Asia-Pacific region:Scoping review[J]. J Med Internet Res, 2023, 25:e43224. DOI URL