AI and IoT in the Healthcare Environment: Behavioral Impacts on Patients and Clinicians in Asian and African Contexts
Keywords:
Artificial Intelligence (AI), Healthcare environment, Patient Behavior., Environmental Behaviour, IoTAbstract
This paper examines how Artificial Intelligence (AI) and the Internet of Things (IoT) reshape patient and clinician behaviour in Asian and African healthcare environments. Using a PRISMA-guided integrative review of 42 studies (2018-2026), analysed through Ulrich's Theory of Supportive Design and the Technology Acceptance Model, we find that AI diagnostics, IoT monitoring, and AI documentation alter care-seeking, reconfigure trust, and introduce cognitive overload and techno-anxiety. These effects intersect with workforce shortages and unrepresentative training data. We argue AI and IoT are environmental interventions requiring human-centred, culturally aware design, and contribute a replicable framework extending environment-behaviour research to digital healthcare.
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Copyright (c) 2026 Shema Nkindi GISCARD, Baseem Al-Athwari, Antony Susani Mrefu, Dufitumukiza jean Pierre
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