Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review
This paper aims to explore the application of Internet of Things (IoT) in healthcare under the rapid development of artificial intelligence technology, systematically analyze the resulting iatrogenic risks, and examine their conceptualization, classification, and governance pathways. Through a syste...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Chinese Journal of Public Health
2025-01-01
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| Series: | Zhongguo gonggong weisheng |
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| Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1145056 |
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| author | Guangwei DENG Shimin LI Liang LIANG Chengchao ZHOU |
| author_facet | Guangwei DENG Shimin LI Liang LIANG Chengchao ZHOU |
| author_sort | Guangwei DENG |
| collection | DOAJ |
| description | This paper aims to explore the application of Internet of Things (IoT) in healthcare under the rapid development of artificial intelligence technology, systematically analyze the resulting iatrogenic risks, and examine their conceptualization, classification, and governance pathways. Through a systematic review of relevant literature and based on Bogner's classification of medical failures, this study categorizes iatrogenic risks into active and latent types and identifies risk factors in the medical application of IoT technology. The research finds that algorithm limitations and cybersecurity issues are the main factors contributing to active iatrogenic risks, while human-machine integration challenges and loose regulatory environments are the primary factors leading to latent iatrogenic risks. While IoT medical technology improves healthcare service efficiency and quality, it also introduces iatrogenic risks. The study indicates that precise efforts in technical security regulatory standards and multi-stakeholder risk avoidance mechanisms are necessary to establish an IoT healthcare risk control system and reduce iatrogenic risks. |
| format | Article |
| id | doaj-art-565b9c4e7a78495e8020fb5a3b79ec10 |
| institution | DOAJ |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
| record_format | Article |
| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-565b9c4e7a78495e8020fb5a3b79ec102025-08-20T02:56:45ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802025-01-01411172110.11847/zgggws11450561145056Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature reviewGuangwei DENG0Shimin LI1Liang LIANG2Chengchao ZHOU3Department of Public Administration, School of Management, Hefei University of Technology, Hefei 230009, ChinaDepartment of Public Administration, School of Management, Hefei University of Technology, Hefei 230009, ChinaDepartment of Public Administration, School of Management, Hefei University of Technology, Hefei 230009, ChinaSchool of Public Health, Shandong University, Jinan 250012, ChinaThis paper aims to explore the application of Internet of Things (IoT) in healthcare under the rapid development of artificial intelligence technology, systematically analyze the resulting iatrogenic risks, and examine their conceptualization, classification, and governance pathways. Through a systematic review of relevant literature and based on Bogner's classification of medical failures, this study categorizes iatrogenic risks into active and latent types and identifies risk factors in the medical application of IoT technology. The research finds that algorithm limitations and cybersecurity issues are the main factors contributing to active iatrogenic risks, while human-machine integration challenges and loose regulatory environments are the primary factors leading to latent iatrogenic risks. While IoT medical technology improves healthcare service efficiency and quality, it also introduces iatrogenic risks. The study indicates that precise efforts in technical security regulatory standards and multi-stakeholder risk avoidance mechanisms are necessary to establish an IoT healthcare risk control system and reduce iatrogenic risks.https://www.zgggws.com/article/doi/10.11847/zgggws1145056medical internet of thingsiatrogenic riskartificial intelligence technologyreview |
| spellingShingle | Guangwei DENG Shimin LI Liang LIANG Chengchao ZHOU Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review Zhongguo gonggong weisheng medical internet of things iatrogenic risk artificial intelligence technology review |
| title | Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review |
| title_full | Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review |
| title_fullStr | Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review |
| title_full_unstemmed | Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review |
| title_short | Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review |
| title_sort | research progress on iatrogenic risks based on internet of things medical technology a systematic literature review |
| topic | medical internet of things iatrogenic risk artificial intelligence technology review |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1145056 |
| work_keys_str_mv | AT guangweideng researchprogressoniatrogenicrisksbasedoninternetofthingsmedicaltechnologyasystematicliteraturereview AT shiminli researchprogressoniatrogenicrisksbasedoninternetofthingsmedicaltechnologyasystematicliteraturereview AT liangliang researchprogressoniatrogenicrisksbasedoninternetofthingsmedicaltechnologyasystematicliteraturereview AT chengchaozhou researchprogressoniatrogenicrisksbasedoninternetofthingsmedicaltechnologyasystematicliteraturereview |