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Empowering Patients Through AI Technologies: Contextualize and Personalize Patient Care

Buddhadev Sasmal, Ramesh Saha (), Krishna Gopal Dhal, Diptangshu Pandit, Sohail Saif and Gitosree Khan
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Buddhadev Sasmal: Midnapore City College, Department of Pure and Applied Science
Ramesh Saha: Indian Institute of Information Technology (IIIT) Sonepat, Department of Computer Science and Engineering
Krishna Gopal Dhal: Midnapore College (Autonomous), Department of Computer Science
Diptangshu Pandit: Teesside University, Department of Computing and Games
Sohail Saif: Maulana Abul Kalam Azad University of Technology, Department of Computer Application
Gitosree Khan: B. P. Poddar Institute of Management and Technology, Department of Information Technology

A chapter in AI in Smart and Secure Healthcare, 2026, pp 469-495 from Springer

Abstract: Abstract One of the sectors most significantly influenced by the quick development of AI technology is healthcare. The incorporation of AI techniques is revolutionizing the healthcare sector by empowering more personalized, situational, and preventive healthcare. This change is consistent with the belief that “prevention is better than cure.” AI technologies and methods facilitate a transformative shift in health management rather than just care. For instance, AI can recognize early indicators of possible health problems by evaluating massive volumes of medical data and keeping track of patients in real time. This allows for intervention before minor conditions worsen and become major complications. It is helpful especially in cases of chronic conditions since useful AI predictive classification would be able to pick warning signs of diabetes or heart diseases in patients, enabling appropriate preventive measures to be put in place long before they become problematic. In addition to achieving better medical results, AI also enhances the way patients are handled as it reduces the length of stay in hospitals, and the need for surgery among others. It also advances causes such as the value-based care where the aim is to maintain health for a long period as opposed to just treating it for a short period. AI enables patients to actively manage their well-being by making health information actionable and accessible, which promotes control and collaboration in their care. This study explores how AI is driving healthcare toward a more adaptive rather than curative system. Emphasis on contextual care within AI enables the creation of health promoting system with a focus on not only cure but wellness which is at the core of patient care where technology and care work hand in hand for better health outcomes.

Keywords: Artificial intelligence; Healthcare; Machine learning; Patient care; Digital pathology (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-032-15092-9_19

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DOI: 10.1007/978-3-032-15092-9_19

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