Digital health integration in chronic kidney disease

IF 4.1 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Clinica Chimica Acta Pub Date : 2026-02-15 Epub Date: 2025-11-28 DOI:10.1016/j.cca.2025.120749
Ting Deng , Yi Xue , Nonglak Methakanjanasak
{"title":"Digital health integration in chronic kidney disease","authors":"Ting Deng ,&nbsp;Yi Xue ,&nbsp;Nonglak Methakanjanasak","doi":"10.1016/j.cca.2025.120749","DOIUrl":null,"url":null,"abstract":"<div><div>Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial healthcare costs. Digital health technologies, including telemedicine, wearable biosensors, mobile health applications, and AI-driven decision support systems, offer transformative potential for improving CKD management across the care continuum. This review synthesizes current evidence on digital health integration in CKD, highlighting its role in early detection, remote monitoring, patient self-management, and personalized therapeutic interventions. Mechanistically, digital platforms enable real-time tracking of renal biomarkers, blood pressure, and medication adherence while facilitating predictive analytics for risk stratification and disease progression. Integration with electronic health records and interoperability standards further enhances multidisciplinary coordination and data-driven care. Despite promising outcomes in pilot studies and clinical trials, challenges remain in terms of scalability, data privacy, digital literacy, and regulatory compliance. Future directions include the development of interoperable, patient-centric digital ecosystems and validation through multicenter trials. Digital health integration represents a paradigm shift toward proactive, precision nephrology, with the potential to mitigate CKD burden and improve patient outcomes.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"582 ","pages":"Article 120749"},"PeriodicalIF":4.1000,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000989812500628X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/28 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial healthcare costs. Digital health technologies, including telemedicine, wearable biosensors, mobile health applications, and AI-driven decision support systems, offer transformative potential for improving CKD management across the care continuum. This review synthesizes current evidence on digital health integration in CKD, highlighting its role in early detection, remote monitoring, patient self-management, and personalized therapeutic interventions. Mechanistically, digital platforms enable real-time tracking of renal biomarkers, blood pressure, and medication adherence while facilitating predictive analytics for risk stratification and disease progression. Integration with electronic health records and interoperability standards further enhances multidisciplinary coordination and data-driven care. Despite promising outcomes in pilot studies and clinical trials, challenges remain in terms of scalability, data privacy, digital literacy, and regulatory compliance. Future directions include the development of interoperable, patient-centric digital ecosystems and validation through multicenter trials. Digital health integration represents a paradigm shift toward proactive, precision nephrology, with the potential to mitigate CKD burden and improve patient outcomes.
慢性肾脏疾病的数字健康整合。
慢性肾脏疾病(CKD)是一种日益增长的全球健康负担,其特点是进行性肾功能障碍,高合并症发生率和大量医疗保健费用。数字卫生技术,包括远程医疗、可穿戴生物传感器、移动卫生应用程序和人工智能驱动的决策支持系统,为改善整个护理连续体的CKD管理提供了变革性潜力。这篇综述综合了CKD中数字健康整合的现有证据,强调了其在早期发现、远程监测、患者自我管理和个性化治疗干预方面的作用。从机制上讲,数字平台可以实时跟踪肾脏生物标志物、血压和药物依从性,同时促进风险分层和疾病进展的预测分析。与电子健康记录和互操作性标准的集成进一步加强了多学科协调和数据驱动的护理。尽管试点研究和临床试验取得了可喜的成果,但在可扩展性、数据隐私、数字素养和法规遵从性方面仍然存在挑战。未来的方向包括开发可互操作的、以患者为中心的数字生态系统,并通过多中心试验进行验证。数字健康整合代表了向主动、精确肾病学的范式转变,具有减轻CKD负担和改善患者预后的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书