In the quest to enrich healthcare quality with technological innovations, modern healthcare trends have leveraged Artificial intelligence (A.I.) and the Internet of Things (IoT) to hyper-personalise treatment designs and care outcomes. An integrative perspective of A.I. & IoT is becoming imperative for modern organisations to create myriad touchpoints in a cyber-physical environment that monitors clinical data perpetually and synthesises them to develop meaningful recommendations for patients and providers. Combining technology and user-generated inputs is vital in establishing a patient-centric culture. Patients play a deterministic role in their healthcare protocols and witness the consequences of their actions in the form of treatment effective-ness. In tandem with value-based care (VBC) and health information technologies (HITs), interventions provided through A.I. have a prolific presence across the clinical periphery by ensuring qual-ity through technologies. This study adheres to the PRISMA re-porting guidelines to showcase diverse applications and utilities of smart healthcare technologies. Additionally, it reveals poten-tial barriers that deter both users and organisations from imple-menting such technologies into practice. The discussions mainly focus on the ways in which these applications can enhance the quality of healthcare services through care-personalisation and technological interceptions.
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Senapati et al. (2026) studied this question.
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