{
  "abstract": "Objective: The paper aimed to examine ethical, privacy, and governance challenges in AI-IoT (Artificial Intelligence-based Internet of Things) healthcare environments.\n\nDesign: 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.\n\nResults/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.\n\nConclusion: 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.",
  "abstract_shown": true,
  "affiliations": [
    "Faculty of Business and Communications, INTI International University, Persiaran Perdana BBN Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia",
    "Department of Management Studies, COEP, Technological University, Pune, India",
    "Dibrugarh University, Assam, India",
    "Nootan College of Nursing, Sankalchand Patel University, Visnagar, India"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Joana Jaya"
    },
    {
      "affs": [
        1
      ],
      "name": "Asmat Ara Shaikh"
    },
    {
      "affs": [
        2
      ],
      "name": "Pankaj Sahu"
    },
    {
      "affs": [
        3
      ],
      "name": "B. Mahalakshmi"
    },
    {
      "affs": [
        0
      ],
      "name": "Olina Jaya"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6q75tyjkjm813.bib",
  "cited_by": 0,
  "doi": "10.24083/apjhm.v21i2.5921",
  "fulltext_url": "https://journal.achsm.org.au/index.php/achsm/article/view/5921",
  "id": "6q75tyjkjm813",
  "issns": [
    "1833-3818",
    "2204-3136"
  ],
  "landing_url": "https://doi.org/10.24083/apjhm.v21i2.5921",
  "language": "en",
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "R5-920"
    ],
    [
      "lcc",
      "RA1-1270"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7224099104",
  "pdf_url": "https://journal.achsm.org.au/index.php/achsm/article/download/5921/2012",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": "ACHSM",
  "ris": "https://research.draconitic.com/paper/6q75tyjkjm813.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T14:22:19Z",
      "native_id": "074b60797a634e2ba1f3840d6936b9cd",
      "source": "doaj",
      "url": "https://doi.org/10.24083/apjhm.v21i2.5921"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Unpacking Ethical, Privacy, And Governance Risks in AI-IoT Based Healthcare Environments: A thematic analysis",
  "title_text": "Unpacking Ethical, Privacy, And Governance Risks in AI-IoT Based Healthcare Environments: A thematic analysis",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T14:22:19Z",
  "url": "https://research.draconitic.com/paper/6q75tyjkjm813",
  "venue": "Asia Pacific Journal of Health Management",
  "versions": []
}