REVIEW PAPER
Digital Health Informatics: Bridging Clinical Gaps through AI, Wearable Sensors, and Telemedicine Technologies
1
PG & Research Department of Biotechnology& Bioinformatics, Holy Cross College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India
Submission date: 2025-08-31
Final revision date: 2025-09-19
Acceptance date: 2025-10-10
Online publication date: 2026-01-28
Publication date: 2026-01-28
Journal of Medico Informatics 2026;2(1):31-39
HIGHLIGHTS
- Digital health integrates AI, wearables, and telemedicine to improve healthcare delivery.
- AI enables predictive analytics, diagnostics, and clinical decision support in healthcare systems.
- Wearable sensors allow real-time patient monitoring and chronic disease management.
- Telemedicine improves healthcare access, continuity of care, and remote patient management.
- Emerging technologies include digital twins, federated learning, and digital therapeutics.
KEYWORDS
TOPICS
ABSTRACT
The fast-paced development of digital health informatics is transforming the way we think about proactive, personalized and data-driven healthcare. This review underscores the integrating power of AI, wearable sensors and telemedicine platforms in facilitating real-time monitoring, early diagnosis and remote care—especially to underserved communities. It looks at how AI is driving predictive analytics, wearables are upping the ante in continuous biometric feedback, telemedicine is bridging care continuity for those who live in remote areas. The combined use of these technologies has the potential to democratize medical care and improve clinical results. Challenges yet to be addressed are data interoperability, user privacy, digital literacy discrepancies and algorithmic bias. The article also discusses new frontiers including digital therapeutics, federated learning and decentralised data ecosystems that promise to reshape patient-centred health systems even more
ACKNOWLEDGEMENTS
The authors thankfully acknowledge the Department of Science and Technology, Government of India, for providing support through the Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions (FIST) program (Grant No. SR/FIST/College- /2020/943)
FUNDING
Department of Science and Technology, Government of India, through the Fund “Improvement of S&T Infrastructure in Universities and Higher Educational Institutions (FIST) program (Grant No. SR/FIST/College- /2020/943)”
CONFLICT OF INTEREST
The authors declare that they have no known financial, personal, academic, or other relationships that could inappropriately influence, or be perceived to influence, the work reported in this manuscript. All authors confirm that there are no competing interests to declare.
PEER REVIEW INFORMATION
Article has been screened for originality
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