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Peer-reviewedCC BY-NCAsia Pacific Journal of Health Management

Unpacking Ethical, Privacy, And Governance Risks in AI-IoT Based Healthcare Environments: A thematic analysis

  • Joana Jaya1
  • Asmat Ara Shaikh2
  • Pankaj Sahu3
  • B. Mahalakshmi4
  • Olina Jaya1
4 affiliations
  1. 1Faculty of Business and Communications, INTI International University, Persiaran Perdana BBN Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
  2. 2Department of Management Studies, COEP, Technological University, Pune, India
  3. 3Dibrugarh University, Assam, India
  4. 4Nootan College of Nursing, Sankalchand Patel University, Visnagar, India
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Abstract

Objective: The paper aimed to examine ethical, privacy, and governance challenges in AI-IoT (Artificial Intelligence-based Internet of Things) healthcare environments.

Design: A total of 39 peer-reviewed open-access studies were screened and used for a systematic review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A multi-stage thematic analysis was used for identifying recurring patterns within the literature and answering the research questions.

Results/outcomes: The identified challenges in the AI-IoT healthcare ecosystems, arising from the thematic analysis, are privacy and continuous surveillance, algorithmic bias and lack of explainability, limitations for informed consent, and fragmented governance and accountability.

Conclusion: The findings, in sync with STS theory, indicate that challenges in AI-IoT healthcare systems cannot be addressed solely through technological innovations. In response, the study proposed an Integrated Human-Centric Trust Framework to integrate human intervention with technological advancements.

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Cite

BibTeXRIS
BibTeX
@article{jaya2026unpacking,
  title = {{Unpacking Ethical, Privacy, And Governance Risks in AI-IoT Based Healthcare Environments: A thematic analysis}},
  author = {Joana Jaya and Asmat Ara Shaikh and Pankaj Sahu and B. Mahalakshmi and Olina Jaya},
  journal = {Asia Pacific Journal of Health Management},
  year = {2026},
  month = oct,
  doi = {10.24083/apjhm.v21i2.5921},
  url = {https://doi.org/10.24083/apjhm.v21i2.5921},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Unpacking Ethical, Privacy, And Governance Risks in AI-IoT Based Healthcare Environments: A thematic analysis
AU  - Joana Jaya
AU  - Asmat Ara Shaikh
AU  - Pankaj Sahu
AU  - B. Mahalakshmi
AU  - Olina Jaya
PY  - 2026
DA  - 2026/10/28
JO  - Asia Pacific Journal of Health Management
DO  - 10.24083/apjhm.v21i2.5921
UR  - https://doi.org/10.24083/apjhm.v21i2.5921
AB  - Objective: The paper aimed to examine ethical, privacy, and governance challenges in AI-IoT (Artificial Intelligence-based Internet of Things) healthcare environments.  Design: A total of 39 peer-reviewed open-access studies were screened and used for a systematic review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A multi-stage thematic analysis was used for identifying recurring patterns within the literature and answering the research questions.  Results/outcomes: The identified challenges in the AI-IoT healthcare ecosystems, arising from the thematic analysis, are privacy and continuous surveillance, algorithmic bias and lack of explainability, limitations for informed consent, and fragmented governance and accountability.  Conclusion: The findings, in sync with STS theory, indicate that challenges in AI-IoT healthcare systems cannot be addressed solely through technological innovations. In response, the study proposed an Integrated Human-Centric Trust Framework to integrate human intervention with technological advancements.
SN  - 1833-3818
SN  - 2204-3136
ER  -