The Integration of Wearable Devices with mHealth Apps for Remote Patient Monitoring: A Literature Review
Abstract
Wearable devices and mobile health (mHealth) applications have transformed healthcare by facilitating real-time remote patient monitoring (RPM). These technologies provide ongoing monitoring of vital signs, management of chronic diseases, and tailored health treatments, enhancing patient outcomes and decreasing hospital readmissions. The amalgamation of artificial intelligence (AI) and the Internet of Things (IoT) has augmented the efficacy of remote patient monitoring (RPM) through predictive analytics, automatic notifications, and fluid data interchange. This literature study seeks to examine the amalgamation of wearable devices with mHealth applications, emphasizing their development, advantages, obstacles, and prospective future. The review consolidates recent studies on wearable-integrated healthcare solutions, highlighting their uses in chronic illness management, post-surgical monitoring, geriatric care, and mental health assessment. Essential findings demonstrate that wearable-integrated mHealth applications augment patient engagement, enable early disease identification, and refine clinical decision-making. Nonetheless, considerable hurdles remain, encompassing data privacy issues, limitations in sensor accuracy, interoperability complications with Electronic Health Records (EHRs), and sustained user adherence over time. Identified research needs encompass the necessity for advanced AI-driven health forecasts, fortified data security protocols, and standardized frameworks for the smooth integration of healthcare systems. Future research must prioritize the advancement of more dependable and secure wearable health technology, enhance access to digital healthcare for marginalized people, and undertake extensive clinical trials to substantiate wearable-based remote patient monitoring systems. By tackling these problems, wearable-integrated mHealth applications can significantly influence the future of patient-centered, data-driven healthcare.
Keywords:
Wearable Devices, mHealth Applications, Remote Patient Monitoring (RPM), Artificial Intelligence (AI), Chronic Disease Management, Telemedicine, Healthcare Technology, Electronic Health Records (EHRs)
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References
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2. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano MDP, et al. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. J Med Internet Res. 2023 May 4;25:e44030.
3. Singh B, Kaunert C. Lensing Sensors and Wearable Technologies in Healthcare Uplifting Digital Health Technologies: Novelty and Operations in Human Augmentation. In: Chhabra G, Singh T, Kumar M, editors. Advances in Psychology, Mental Health, and Behavioral Studies [Internet]. IGI Global; 2025 [cited 2025 Mar 18]. p. 411–34. Available from: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7545-7.ch014
4. Shang X. The Current Status and Future Trends of Wearable Devices. Appl Comput Eng. 2024 Dec 26;120(1):98–104.
5. Shadab M, Salman ZH, Joji RM, Saleh ZS, Shahid M. Exploring the Immense Role of Wearable Devices and Smart Technologies in Revolutionizing Healthcare and Medical Education: In: Ul Rehman S, editor. Advances in Educational Technologies and Instructional Design [Internet]. IGI Global; 2024 [cited 2025 Mar 18]. p. 191–232. Available from: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7817-5.ch008
6. Liu R. Flexible and stretchable sensors for wearable medical monitoring. Sci Technol Eng Chem Environ Prot [Internet]. 2024 Dec 31 [cited 2025 Mar 18];1(10). Available from: https://www.deanfrancispress.com/index.php/te/article/view/2670
7. Kalpana K, Geetha P, Monalisa T, Praveenya N, Vaishnavi. Smart Wearable Devices for Healthcare. Int J Sci Res Sci Technol. 2025 Jan 3;12(1):18–28.
8. Ghazwani S, Hakami A, Maashi A, Abuamrayn A, Sharifi B, Jafari N. The Role of Mobile Health Applications in Promoting Patient Engagement and Self-Management. Int J Sci Res Publ. 2024 Sep 24;14(9):29–33.
9. Alamri RH, Alamri MH, Alamri SH, Mohammedkhalil RH, Alotaibi SS, Albalawi AO, et al. Comprehensive Analysis of Digital Health Technology: Assessing Mobile Health Applications for Managing Chronic Diseases and Promoting Patient Engagement. J Ecohumanism [Internet]. 2024 Dec 16 [cited 2025 Mar 18];3(8). Available from: https://ecohumanism.co.uk/joe/ecohumanism/article/view/5344
10. Hettiarachchi C, Vlieger R, Ge W, Apthorp D, Daskalaki E, Brüstle A, et al. Optimising Personalised Medical Insights by Introducing a Scalable Health Informatics Application for Sensor Data Extraction, Preprocessing, and Analysis. In: Bichel-Findlay J, editor. Studies in Health Technology and Informatics [Internet]. IOS Press; 2024 [cited 2025 Mar 18]. Available from: https://ebooks.iospress.nl/doi/10.3233/SHTI240905
11. Widmer A. Digitale Gesundheits-Apps: Wie gelingt die Integration in die medizinische Versorgung. Inn Med. 2024 Dec;65(12):1261–5.
12. Lu L, Zhang J, Xie Y, Gao F, Xu S, Wu X, et al. Wearable Health Devices in Health Care: Narrative Systematic Review. JMIR MHealth UHealth. 2020 Nov 9;8(11):e18907.
13. Jansen AJS, Peters GM, Kooij L, Doggen CJM, Van Harten WH. Device based monitoring in digital care and its impact on hospital service use. Npj Digit Med. 2025 Jan 8;8(1):16.
14. Paul MM, Khera N, Elugunti PR, Ruff KC, Hommos MS, Thomas LF, et al. The state of remote patient monitoring for chronic disease management in the United States (Preprint) [Internet]. Journal of Medical Internet Research; 2024 [cited 2025 Mar 18]. Available from: http://preprints.jmir.org/preprint/70422
15. Dubey A, Sree R U. Revolutionizing Healthcare with Intelligent Remote Health Monitoring. Int J Adv Res Sci Commun Technol. 2024 Dec 5;28–32.
16. Judson T, Patel B, Hernandez A, Talley M. Implementation of Diabetic Remote Patient Monitor for Underserved Population. CIN Comput Inform Nurs [Internet]. 2025 Mar [cited 2025 Mar 18];43(3). Available from: https://journals.lww.com/10.1097/CIN.0000000000001236
17. Singh B, Kaunert C. AI in Healthcare. In: AI for Humanitarianism [Internet]. 1st ed. Boca Raton: CRC Press; 2025 [cited 2025 Mar 18]. p. 79–91. Available from: https://www.taylorfrancis.com/books/9781003479109/chapters/10.1201/9781003479109-7
18. Yisa Morenikeji I. Leveraging Artificial Intelligence in healthcare to optimize patient outcomes, with specialized staff training programs. World J Adv Res Rev. 2024 Dec 30;24(3):3078–93.
19. Faiyazuddin Md, Rahman SJQ, Anand G, Siddiqui RK, Mehta R, Khatib MN, et al. The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency. Health Sci Rep. 2025 Jan;8(1):e70312.
20. Meduri V. AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management. Int J Multidiscip Res. 2024 Dec 24;6(6):33721.
21. Vangalla DrR. AI Integration in Telemedicine: Revolutionizing Virtual Healthcare Delivery. Int J Sci Res Comput Sci Eng Inf Technol. 2024 Dec 18;10(6):1858–66.
22. Kaur K, Kapur B. Trends in Remote Healthcare and the Future of Telemedicine: A bibliometric Analysis. In: Pathak N, Gupta M, Sharma V, Chaudhary A, editors. Proceedings of the 2nd International Conference on Emerging Technologies and Sustainable Business Practices-2024 (ICETSBP 2024) [Internet]. Dordrecht: Atlantis Press International BV; 2024 [cited 2025 Mar 19]. p. 377–94. (Advances in Economics, Business and Management Research; vol. 296). Available from: https://www.atlantis-press.com/doi/10.2991/978-94-6463-544-7_25
23. Williamson A, Heydarshahi B, Finley-Abboud D, Massac L, Jacobson L, Christophe N, et al. What smartphone apps exist to support recovery from opioid use disorder? A content analysis of publicly available opioid-related smartphone apps. Addict Sci Clin Pract. 2025 Mar 13;20(1):26.
24. TURAN GG, ERGÜN B, KIZILAY F. Yaşlılarda Fiziksel Aktiviteyi Destekleyen ve Geliştirmeyi Amaçlayan Ulaşılabilir Teknolojiler. 2025 Feb 28 [cited 2025 Mar 19]; Available from: https://zenodo.org/doi/10.5281/zenodo.14995395
25. Bahbouh NM. A framework based IOHT for comprehensive, intelligent, and adaptive solution in the health domain [Internet] [doctoral thesis]. Universidad de Granada; 2025 [cited 2025 Mar 19]. Available from: https://digibug.ugr.es/handle/10481/102871
26. Goradia R, Sood A. A Qualitative Analysis of Telemedicine Use Among Urban and Rural Patients With Urologic Malignancies. JU Open Plus [Internet]. 2025 Mar [cited 2025 Mar 19];3(3). Available from: https://journals.lww.com/10.1097/JU9.0000000000000263
27. Oke GI, Sibomana O. Adoption of Digital Health Technology in Nigeria: A Scoping Review of Current Trends and Future Directions. Zhang W, editor. Adv Public Health. 2025 Jan;2025(1):4246285.
28. Ogwu MC, Izah SC. Mobile Health and Telemedicine for Tropical Diseases. In: Ogwu MC, Izah SC, editors. Technological Innovations for Managing Tropical Diseases [Internet]. Cham: Springer Nature Switzerland; 2025 [cited 2025 Mar 19]. p. 183–211. Available from: https://doi.org/10.1007/978-3-031-82622-1_8
29. Robinson AV, Noël J, Peckham-Cooper A, Pegna V. How can the model for a sustainable surgical pathway be enhanced by digital medicine? Surg Oxf. 2025 Mar;43(3):153–9.
30. Baker JA, Berlinski A. Use of Digital Health in Pediatric Asthma. Respir Care. 2025 Feb 19;respcare.12574.
31. Mardes S, Widyaswari M, Fakhrudin A, Putri RD, Hastini S, Ramadhani E. Identifying key predictors of cognitive impairment in hypertensive older adults: A call for digital health integration. J Clin Neurosci [Internet]. 2025 Apr 1 [cited 2025 Mar 19];134. Available from: https://www.jocn-journal.com/article/S0967-5868(25)00089-X/abstract
32. Lederman R, Gray K. Introduction to health information systems research. In: Gray K, Lederman R, editors. Research Handbook on Health Information Systems [Internet]. Edward Elgar Publishing; 2025 [cited 2025 Mar 19]. p. 1–12. Available from: https://www.elgaronline.com/view/book/9781802201307/chapter0.xml
33. Faqar Uz Zaman SF, Sliwinski S, Mohr-Wetzel L, Dreilich J, Filmann N, Detemble C, et al. Validity, Accuracy, and Safety Assessment of an Aerobic Interval Training Using an App-Based Prehabilitation Program (PROTEGO MAXIMA Trial) Before Major Surgery: Prospective, Interventional Pilot Study. JMIR MHealth UHealth. 2025 Feb 10;13:e55298.
34. Torriani-Pasin C, Domingues VL, de Freitas TB, Geed S. Using mHealth Technology to Monitor People with Parkinson’s Disease. In: Barbieri FA, Vitório R, Santos PCR dos, editors. Locomotion and Posture in Older Adults: The Role of Aging and Movement Disorders [Internet]. Cham: Springer Nature Switzerland; 2024 [cited 2025 Mar 19]. p. 575–87. Available from: https://doi.org/10.1007/978-3-031-74123-4_30
35. Koo TH, Leong XB, Ng JK, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia, Tan NKB, InnoDev Digital Enterprise, Kuala Lumpur, Malaysia, et al. Emerging Trends in Telehealth and AI-Driven Approaches for Obesity Management: A New Perspective. Malays J Med Sci. 2025 Feb 28;32(1):26–34.
36. Saji AS, Komel A, Khan MH, Niraula S, Naeem B, Ahsan A, et al. Digital Health Technologies in Pediatric Infectious Disease and the Perspective of Patients and Healthcare Professionals: A Review. Health Sci Rep. 2025 Mar;8(3):e70514.
37. Ogwu MC, Izah SC. Technological Innovations in Tropical Diseases Treatment and Therapeutics | SpringerLink [Internet]. 2025 [cited 2025 Mar 19]. Available from: https://link.springer.com/chapter/10.1007/978-3-031-82622-1_12
38. Ogwu MC, Izah SC. Smart Technologies for Tropical Disease Prevention and Control. In: Technological Innovations for Managing Tropical Diseases [Internet]. Cham: Springer Nature Switzerland; 2025 [cited 2025 Mar 19]. p. 213–35. (Health Information Science). Available from: https://link.springer.com/10.1007/978-3-031-82622-1_9
39. Wu M, Luo J. Wearable technology applications in healthcare: a literature review. Online J Nurs Inf. 2019;23(3).
40. Shaik T, Tao X, Higgins N, Li L, Gururajan R, Zhou X, et al. Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. WIREs Data Min Knowl Discov. 2023 Mar;13(2):e1485.
41. Ghose A, Guo X, Li B, Dang Y. Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment [Internet]. arXiv; 2021 [cited 2025 Mar 19]. Available from: https://arxiv.org/abs/2102.05506
42. Gui H, Liu J. Latest Progresses in Developing Wearable Monitoring and Therapy Systems for Managing Chronic Diseases [Internet]. arXiv; 2018 [cited 2025 Mar 19]. Available from: https://arxiv.org/abs/1802.01747
43. Annis T, Pleasants S, Hultman G, Lindemann E, Thompson JA, Billecke S, et al. Rapid implementation of a COVID-19 remote patient monitoring program. J Am Med Inform Assoc. 2020 Aug 1;27(8):1326–30.
44. Scarpioni R, Manini A, Chiappini P. Remote patient monitoring in peritoneal dialysis helps reduce risk of hospitalization during Covid-19 pandemic. J Nephrol. 2020 Dec;33(6):1123–4.
45. Stuijt DG, Van Doeveren EEM, Kos M, Eversdijk M, Bosch JJ, Bins AD, et al. Remote Patient Monitoring Using Mobile Health Technology in Cancer Care and Research: Patients’ Views and Preferences. JCO Clin Cancer Inform. 2024 Nov;(8):e2400092.
46. Peyroteo M, Ferreira IA, Elvas LB, Ferreira JC, Lapão LV. Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review. JMIR MHealth UHealth. 2021 Dec 21;9(12):e28285.
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Anas Ferdous A, Shamiur Rahman S. The Integration of Wearable Devices with mHealth Apps for Remote Patient Monitoring: A Literature Review. Int J Drug Reg Affairs [Internet]. 2025Sep.15 [cited 2025Nov.11];13(3):38-1. Available from: https://www.ijdra.com/index.php/journal/article/view/778
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