Volume 28, Issue 1 (5-2025)
jha 2025, 28(1): 1-6 |
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Sheikhtaheri A, Mofarrahi M. Patient safety risks in digital health and artificial intelligence: a call for attention. jha 2025; 28 (1) :1-6
URL: http://jha.iums.ac.ir/article-1-4659-en.html
URL: http://jha.iums.ac.ir/article-1-4659-en.html
1- Health Management and Economics Research Centre, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran. & Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. , sheikhtaheri.a@iums.ac.ir
2- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
2- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Abstract: (33 Views)
Health information technologies, digital health and artificial intelligence significantly improve patient safety; however, these technologies sometimes compromise patient safety, leading to serious harm and even death. Many studies highlighted a variety of patient safety risks attributed to these technologies. Software malfunctions, incorrect data input, inadequate alerts generated by these technologies, delays in order entry systems, poor user interfaces, system misalignment with clinical workflows, algorithmic flaws, and gender, racial, and geographical biases are some flaws may result in patient safety incidents. Researchers in Iran mainly focus on positive aspects and outcomes of these technologies. Researchers are recommended to pay more attention to harmful impacts and patient safety risks of digital health and AI.
Keywords: Patient safety, Medical error, Health information technology, digital health, artificial intelligence
Type of Study: Letter to Editor |
Subject:
Health Information Management
Received: 2025/05/18 | Accepted: 2025/08/5 | Published: 2025/08/31
Received: 2025/05/18 | Accepted: 2025/08/5 | Published: 2025/08/31
References
1. Najafi Sarband S, Amanzadeh M, Naimi R, Mohammad Shahi J, Mahdavi A. Benefits and challenges of electronic pharmaceutical prescriptions. Journal of Health Administration. 2024; 27 (3): 103-117. [In Persian] doi: http://doi.org/10.61186/jha.27.3.103 [DOI:10.61186/jha.27.3.103]
2. Amlashi SR, Leyli EK, Sheikhtaheri A. Physicians' and pharmacists' viewpoint on ambulatory electronic prescription system. Journal of Health Administration. 2022;25(3):108-14. [In Persian] doi: http://doi.org/10.22034/25.3.108
3. Koonin LM, Hoots B, Tsang CA, Leroy Z, Farris K, Jolly T, et al. Trends in the use of telehealth during the emergence of the COVID-19 pandemic-United States, January-March 2020. MMWR Morbidity and mortality weekly report. 2020;69(43):1595-9. doi: http://doi.org/10.15585/mmwr.mm6943a3 [DOI:10.15585/mmwr.mm6943a3]
4. Taheri Moghadam S, Hooman N, Sheikhtaheri A. Patient safety classifications for health information technology (HIT) and medical devices: a review on available systems. Studies in Health Technology and Informatics. 2022; 293:153-60. doi: http://doi.org/10.3233/SHTI220362 [DOI:10.3233/SHTI220362]
5. Jabin MSR. The need for a refined classification system and national incident reporting system for health information technology-related incidents. Frontiers in Digital Health. 2024;6:1422396. [DOI:10.3389/fdgth.2024.1422396]
6. Kim MO, Coiera E, Magrabi F. Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review. Journal of American Medical Informatics Association. 2017 Mar 1;24(2):246-50. 28011595. doi: [DOI:10.1093/jamia/ocw154]
7. Taheri Moghadam S, Sheikhtaheri A, Hooman N. Patient safety classifications, taxonomies and ontologies, part 2: A systematic review on content coverage. Journal of Biomedical Informatics. 2023 (148):104549. doi: [DOI:10.1016/j.jbi.2023.104549]
8. Wergin J. Medical errors and health IT: what does the data say? [Internet] Pennsylvania (America): Emergency Care Research Institude (ECRI). 2023. Available from: https://home.ecri.org/blogs/ecri-blog/medical-errors-and-health-it-what-does-the-data-say/
9. Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC, et al. Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics. 2005;116(6):1506-12. doi: [DOI:10.1542/peds.2005-1287]
10. Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293(10):1197-203. doi: [DOI:10.1001/jama.293.10.1197]
11. Hannaford N, Mandel C, Crock C, Buckley K, Magrabi F, Ong M, et al. Learning from incident reports in the Australian medical imaging setting: handover and communication errors. British Journal of Radiology. 2013;86(1022):20120336.. doi: [DOI:10.1259/bjr.20120336]
12. Rahman Jabin MS, Hammar T. Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system. Digital Health. 2022;8:20552076221131139. doi: [DOI:10.1177/20552076221131139]
13. Barbour S, Wright N, McNamee A, Roxby P. NHS computer issues linked to patient harm. 2024. Available from: https://www.bbc.com/news/articles/c4nn0vl2e78o
14. Muley A, Muzumdar P, Kurian G, Basyal GP. Risk of AI in healthcare: a comprehensive literature review and study framework. Asian Journal of Medicine and Health. 2023;21:276-91. doi:
https://doi.org/10.9734/ajmah/2023/v21i10903 [DOI:10.9734/AJMAH/2023/v21i10903]
15. Schinkel M, Paranjape K, Nannan Panday RS, Skyttberg N, Nanayakkara PWB. Clinical applications of artificial intelligence in sepsis: a narrative review. Computer in Biology and Medicine. 2019;115:103488. doi: [DOI:10.1016/j.compbiomed.2019.103488]
16. Abbasi H, Rahimi B, Jebraeily M, Nourani A. The extent of achieving the expected goals of the Ministry of Health in the implementation of the electronic health record system from the end-users' viewpoint in West Azerbaijan province. Journal of Health Administration. 2023;26(1):9-28 [In Persian] doi: [DOI:10.22034/26.1.11]
17. Kheradranjbar M, Khamseh A, Iranban Fard SJ. Evaluation of health services portfolio management based on information technology using adaptive neuro-fuzzy inference approach. Journal of Health Administration 2024; 27 (3) :54-69. [In Persian] doi: [DOI:10.61186/jha.27.3.54]
18. Sarbaz M, Mousavi Baigi SF, Salehzadea Z, Norouzi Aval R, Esmaeili M, Kimiaf K. Security barriers and facilitators in the use of mobile health applications from the perspective of paramedical students at Mashhad university of medical sciences: a descriptive cross-sectional study. Journal of Health Administration. 2024;23(3):1-16. [In Persian] [DOI:10.61186/jha.27.3.1]
19. Rahimloo L, Ebrahimi K, Mehrtak M, Mohammadnia A, Lotfnezhad H. Evaluating the integrated health system (SIB) from the users' perspectives. Journal of Health Administration. 2024;27(2):74-89. [In Persian] doi: [DOI:10.61186/jha.27.2.74]
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