Digital Health, Telemedicine and Remote Patient Monitoring: Transforming Healthcare Delivery
DOI:
https://doi.org/10.55006/Keywords:
Disease management, Tele-health, Telemedicine, Healthcare, Digital healthAbstract
Telehealth and digital health technology have been revolutionizing health care delivery for many years, but the rapid use of these technologies greatly increased because of the COVID-19 Pandemic. The purpose of this review is to critically evaluate the role of telehealth, remote patient monitoring (RPM), and artificial intelligence (AI), and how they have been able to improve the overall delivery of health care, particularly in managing chronic diseases. A narrative review of published literature was completed, analysing literature regarding telehealth applications, digital health tools, and the integration of AI among a variety of health care domains. The evidence demonstrates that telehealth offers increased access to care and promotes better patient participation and monitoring of disease (e.g. diabetes and hypertension). There are some differences in the outcomes of telehealth services based on the population being served, the digital literacy of the patient and the overall digital infrastructure of the health care system being used. AI integration to support telehealth has also been shown to support accurate diagnosis and improved clinical decision making for a patient, however, there still exist some concerns pertaining to data privacy, bias and regulatory frameworks governing the use of AI. The use of telehealth and digital health technology have incredible potential to transform health care systems through increased access and efficiency of service delivery and providing patient-centred care; however, it is critical to address necessary infra-structural, ethical, and regulatory issues to make them sustainable and equitably implemented across health care systems everywhere.
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References
1. Fudim M, Feldman DI, Sayed A. Digital health: from remote monitoring to remote care. J Card Fail. 2025;31(2):489–491.
2. Gandy K, Schmaderer M, Szema A, March C, Topping M, Song A, et al. Remote patient monitoring: a promising digital health frontier. In: Proc Int Conf Inf Digit Technol (IDT); 2021 Jun 22; IEEE. p. 297–302.
3. Field MJ, Grigsby J. Telemedicine and remote patient monitoring. JAMA. 2002;288(4):423–425.
4. Vegesna A, Tran M, Angelaccio M, Arcona S. Remote patient monitoring via non-invasive digital technologies: a systematic review. Telemed J E Health. 2017;23(1):3–17.
5. Hegde S, Eid NS. Telehealth and remote patient monitoring after the COVID pandemic. Pediatr Allergy Immunol Pulmonol. 2021;34(4):130–131.
6. Fong B, Fong ACM, Li CK. Telemedicine technologies: information technologies in medicine and digital health. Hoboken: John Wiley & Sons; 2020.
7. Khan U. Remote patient monitoring and telehealth: the future of cardiac care. Int J Eng Technol Res Manag. 2024;8(6).
8. Dubey A, Verma AS. Effective remote healthcare and telemedicine approaches for improving digital healthcare systems. In: Digital health transformation with blockchain and artificial intelligence. Boca Raton: CRC Press; 2022. p. 273–297.
9. Vudathaneni VKP, Lanke RB, Mudaliyar MC, Movva KV, Kalluri LM, Boyapati R, et al. The impact of telemedicine and remote patient monitoring on healthcare delivery: a comprehensive evaluation. Cureus. 2024;16(3).
10. Bansal H, Gupta D, Anand D. Blockchain and artificial intelligence in telemedicine and remote patient monitoring. Handbook on Augmenting Telehealth Services. 2024; 30:279-94.
11. Ferdausi NS, Fatema NK, Mahmud NMR, Hoque NR, Ali NM. Transforming telehealth with artificial intelligence: predictive and diagnostic advances in remote patient care. World J Adv Eng Technol Sci. 2025;16(1):355–365.
12. Mumtaz H, Riaz MH, Wajid H, Saqib M, Zeeshan MH, Khan SE, et al. Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review. Front Digit Health. 2023;5:1203945.
13. Haleem A, Javaid M, Singh RP, Suman R. Exploring the revolution in healthcare systems through the applications of digital twin technology. Biomed Technol. 2023;4:28–38.
14. Al Mahmud A, Joachim S, Jayaraman PP, Learmonth C, Tyagi S, Forkan ARM, et al. Digital health interventions to support chronic disease management: systematic scoping review. JMIR mHealth uHealth. 2026;14:e63742.
15. Totten AM, Womack DM, Eden KB, McDonagh MS, Griffin JC, Grusing S, et al. Telehealth: mapping the evidence for patient outcomes from systematic reviews.
16. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions: a systematic review. PLoS Med. 2013;10(1):e1001362.
17. Inglis SC, Clark RA, Dierckx R, Prieto-Merino D, Cleland JGF. Structured telephone support or non-invasive telemonitoring for patients with heart failure. Cochrane Database Syst Rev. 2015;(10).
18. Piwek L, Ellis DA, Andrews S, Joinson A. The rise of consumer health wearables: promises and barriers. PLoS Med. 2016;13(2):e1001953.
19. Yiğit A. Global burden of disease: a bibliometric analysis. Int J Health Manag Tour. 2019;4(3):237–249.
20. Patra J, Popova S, Rehm J, Bondy S, Flint R, Giesbrecht N. Economic cost of chronic disease in Canada. Ontario: Ontario Chronic Disease Prevention Alliance; 2007.
21. DeVol R, Bedroussian A, Charuworn A, Chatterjee A, Kim I, Kim S, et al. An unhealthy America: the economic burden of chronic disease. Santa Monica: Milken Institute; 2007.
22. Botsis T, Hartvigsen G. Current status and future perspectives in telecare for elderly people suffering from chronic diseases. J Telemed Telecare. 2008;14(4):195–203.
23. Ezeamii VC, Okobi OE, Wambai-Sani H, Perera GS, Zaynieva S, Okonkwo CC, et al. Revolutionizing healthcare: how telemedicine is improving patient outcomes. Cureus. 2024;16(7).
24. Stratton IM, Adler AI, Neil HAW, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000;321(7258):405–412.
25. Omboni S, Ferrari R. The role of telemedicine in hypertension management. Curr Hypertens Rep. 2015;17(4):21.
26. Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. Hypertension. 2018;71(6):e13–e115.
27. Concepcion BP, Forbes RC. The role of telemedicine in kidney transplantation. Kidney360. 2020;1(5):420–423.
28. Young A, Orchanian-Cheff A, Chan CT, Wald R, Ong SW. Video-based telemedicine for kidney disease care. Clin J Am Soc Nephrol. 2021;16(12):1813–1823.
29. Doarn CR, Merrell RC. Telemedicine and e-health in disaster response. Telemed J E Health. 2014;20(7):605–606.
30. Ateriya N, Saraf A, Meshram VP, Setia P. Telemedicine and virtual consultation: the Indian perspective. Natl Med J India. 2018;31(4).
31. Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, et al. Telemedicine, telehealth, and mobile health applications. Am J Med. 2014;127(3):183–187.
32. Bashshur R, Shannon G, Sapci H. Telemedicine evaluation. Telemed J E Health. 2005;11(3):296–316.
33. Bhowmik D, Duraivel S, Singh RK, Kumar KS. Telemedicine—an innovating healthcare system in India. Pharma Innov. 2013;2(4):1.
34. Pieczynski J, Kuklo P, Grzybowski A. Telemedicine and artificial intelligence in diabetic retinopathy. Ophthalmol Ther. 2021;10(3):445–464.
35. Kuziemsky C, Maeder AJ, John O, Gogia SB, Basu A, Meher S, et al. Role of artificial intelligence within telehealth. Yearb Med Inform. 2019;28(1):35–40.
36. Pacis DMM, Subido ED, Bugtai NT. Trends in telemedicine utilizing artificial intelligence. In: AIP Conf Proc. 2018;1933(1).
37. Adeghe EP, Okolo CA, Ojeyinka OT. Emerging trends in telemedicine. Int J Life Sci Res Arch. 2024;6(1):137–147.
38. Topol EJ. High-performance medicine: convergence of human and AI. Nat Med. 2019;25(1):44–56.
39. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115–118.
40. Miner AS, Laranjo L, Kocaballi AB. Chatbots in the fight against COVID-19. NPJ Digit Med. 2020;3(1):65.
41. Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. Machine learning in cardiovascular medicine. Heart. 2018;104(14):1156–1164.
42. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare. Stroke Vasc Neurol. 2017;2(4).
43. Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for COVID-19 diagnosis. BMJ. 2020;369.
44. Hassibian MR, Hassibian S. Telemedicine acceptance in developing countries. Razavi Int J Med. 2016;4(3).
45. Baigent MF, Lloyd CJ, Kavanagh SJ, Ben-Tovim DI, Yellowlees PM, Kalucy RS, et al. Telepsychiatry: tele yes, but what about psychiatry? J Telemed Telecare. 1997;3(Suppl 1):3–5.
46. Barlow J, Singh D, Bayer S, Curry R. Benefits of home telecare. J Telemed Telecare. 2007;13(4):172–179.
47. Li KF. Smart home technology for telemedicine. J Ambient Intell Humaniz Comput. 2013;4:535–546.
48. Ding X, Clifton D, Ji N, Lovell NH, Bonato P, Chen W, et al. Wearable sensing and telehealth technology. IEEE Rev Biomed Eng. 2020;14:48–70.
49. Boieva SS, Raksha-Sliusareva OA, Sliusarev OA, Kovalenko РG. Advancements in medical education: emerging aspects and innovations. Preventive Medicine. Theory and Practice. 2024;2(6):25-31.
50. Acharya RV, Rai JJ. Evaluation of telemedicine perception in India. J Fam Med Prim Care. 2016;5(4):798–803.
51. Preaux J, Casadesús M, Bernardo M. Service quality of telemedicine consultation. Telemed J E Health. 2023;29(2):156–171.
52. Nittari G, Khuman R, Baldoni S, Pallotta G, Battineni G, Sirignano A, et al. Ethical and legal challenges in telemedicine. Telemed J E Health. 2020;26(12):1427–1437.
53. Stoumpos AI, Kitsios F, Talias MA. Digital transformation in healthcare. Int J Environ Res Public Health. 2023;20(4):3407.
54. Mitchell KM. Provider perceptions of patient care in telemedicine [dissertation]. Michigan State University; 2024.
55. Alaboudi A, Atkins A, Sharp B, Balkhair A, Alzahrani M, Sunbul T. Barriers in Saudi telemedicine network. J Infect Public Health. 2016;9(6):725–733.
56. El-Rashidy N, El-Sappagh S, Islam SR, El-Bakry HM, Abdelrazek S. Mobile health in remote monitoring. Diagnostics. 2021;11(4):607.
57. Andrikopoulou E. The rise of AI in telehealth. In: Emerging practices in telehealth. 2023. p. 183–207.
58. Moreland CJ, Rao SR, Jacobs K, Kushalnagar P. Equitable access to telehealth. Health Equity. 2023;7(1):126–136.
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Copyright (c) 2026 Shivansh Pathak, Sakshi Shukla, Rajesh Kushwaha, Talib Quraishi, Pratik Kumar Vishwakarma
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