American Journal of Advanced Multidisciplinary Research and Innovation
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Digital Health Ecosystems: Integrating Telemedicine, AI, and Connected Healthcare
| Author(s) | Roni Rosenfeld |
|---|---|
| Country | United States |
| Abstract | The rapid evolution of digital technologies is transforming healthcare from conventional institution-centred delivery models toward integrated, connected, and patient-centred digital health ecosystems. Telemedicine, Artificial Intelligence (AI), Internet of Medical Things (IoMT), wearable devices, electronic health records, cloud computing, mobile health applications, and remote patient monitoring are increasingly interconnected to support healthcare delivery, diagnosis, prevention, and clinical decision-making. This study examines the development of digital health ecosystems with particular emphasis on the integration of telemedicine, AI, and connected healthcare technologies. A qualitative and analytical methodology based on secondary research is adopted to investigate technological architecture, clinical applications, patient engagement, interoperability, data governance, and implementation challenges. The study proposes an integrated digital health ecosystem framework consisting of data generation, connectivity, interoperability, intelligent analytics, clinical decision support, remote care, patient engagement, and continuous monitoring. The analysis indicates that integrated digital health systems can improve accessibility, support early disease detection, enhance chronic disease management, reduce unnecessary hospital visits, and facilitate personalised healthcare. However, challenges related to cybersecurity, privacy, interoperability, digital inequality, algorithmic bias, regulatory compliance, and technological dependency remain significant. The study concludes that the future of healthcare will depend increasingly on interoperable and secure digital ecosystems that combine human clinical expertise with AI-enabled decision support and continuous patient connectivity. Successful implementation requires technological infrastructure, appropriate governance, workforce training, patient-centred design, and equitable access. |
| Keywords | Digital Health, Telemedicine, Artificial Intelligence, Connected Healthcare, Internet of Medical Things, Remote Patient Monitoring, Digital Health Ecosystems, Healthcare Analytics, Interoperability, eHealth. |
| Field | Engineering |
| Published In | Volume 4, Issue 3, May-June 2022 |
| Published On | 2022-06-29 |
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E-ISSN XXXX-XXXXCrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI
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