American Journal of Advanced Multidisciplinary Research and Innovation

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Smart Healthcare Ecosystems: Integrating Artificial Intelligence, IoT and Predictive Analytics for Improved Healthcare Delivery

Author(s) Deblina Sarkar
Country United States
Abstract The rapid development of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, wearable technologies, and predictive analytics is transforming conventional healthcare systems into interconnected smart healthcare ecosystems. These technologies enable healthcare organisations to continuously collect, analyse, and exchange patient and operational information, creating opportunities for earlier diagnosis, personalised treatment, remote patient monitoring, improved resource allocation, and more efficient healthcare delivery. This study examines the integration of AI, IoT, and predictive analytics within smart healthcare ecosystems and evaluates their potential contribution to healthcare quality, accessibility, efficiency, and patient outcomes. A qualitative and conceptual research methodology based on secondary literature is adopted to examine the technological architecture, applications, benefits, challenges, and governance requirements associated with smart healthcare. The study proposes an integrated framework connecting IoT-enabled data acquisition, cloud and edge computing, AI-based analytics, predictive models, clinical decision support, and continuous patient monitoring. The analysis indicates that the greatest value of smart healthcare does not arise from individual technologies operating independently but from their integration into coordinated clinical and organisational workflows. However, challenges involving data interoperability, cybersecurity, privacy, algorithmic bias, infrastructure costs, clinical validation, and digital inequality can restrict adoption. The study concludes that smart healthcare ecosystems should be developed around a patient-centred and human-in-the-loop approach in which technology augments healthcare professionals rather than replacing clinical judgement. Effective governance, interoperable infrastructure, reliable data, workforce training, and continuous evaluation are essential for achieving sustainable improvements in healthcare delivery.
Keywords Smart Healthcare, Artificial Intelligence, Internet of Things, Predictive Analytics, Healthcare Delivery, Remote Patient Monitoring, Digital Health, Clinical Decision Support, Healthcare Innovation, Patient-Centred Care.
Field Engineering
Published In Volume 5, Issue 4, July-August 2023
Published On 2023-07-23

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