Hospital Practices and Research

Enhancing Patients' Rights Criteria in Hospital Accreditation Standard by Using Artificial Intelligence (Case study: Selected Hospitals in Zahedan County)

Document Type : Original Article

Authors

Hamidreza Esmaeili 1
Mohebali Rahdar 1
Ghorbanali Bandani 2

1 Department of Industrial Engineering, University of Sistan and Baluchistan, Zahedan, Iran

2 Nabi Akram Hospital, Zahedan, Iran

https://doi.org/10.30491/hpr.2024.486323.1458
Abstract
Background: Human rights, which are very important for the health system and hospital accreditation requirements, include the issue of patient rights in hospitals. Artificial Intelligence (AI) is one of the advanced technologies in this industry, which aims to improve the standard of medical services for patients.
Objectives: This study was conducted with the aim of improving the enhancing patient's rights criteria in hospital accreditation standard by using AI (case study: selected hospitals in Zahedan county), which examines the factors affecting patient rights and the benefits of using AI.
Methods: According to the subject and purpose, the research approach is cross-sectional and descriptive, which was conducted in several hospitals in Zahedan in 2023. Experts in this field were given a questionnaire to complete as part of this study. Then the most important effects in this field were ranked.
Results: Experts ranked the factors of better disease diagnosis, prevention and prediction, advanced treatment methods, and easier access to medical data as the most important factors. The findings of this study indicate that if AI is used in selected hospitals of Zahedan, the rights of patients will be consistent with international validation criteria.
Conclusion: The factors covered in this study are necessary for the successful integration of AI in the health system, as well as following the guidelines that apply to any other intelligent system, including technical training and considering organizational, managerial and economic aspects. In order to intelligently adapt these systems, stakeholders in the health sector must use these components.

Keywords

Patient Rights
Artificial Intelligence
Hospital
Accreditation
  1. Soleimanpour H, Gholipouri C, Salarilak S, Raoufi P, Vahidi RG, Rouhi AJ, Ghafouri RR, Soleimanpour M. Emergency department patient satisfaction survey in Imam Reza hospital, Tabriz, Iran. Int J Emerg Med. 2011;4:2. doi:10.1186/1865-1380-4-2
  2. Kaushik P. Artificial intelligence accelerated transformation in the healthcare industry. Amity J Prof Prac. 2023;3(01). doi:10.55054/ajpp.v3i01.630
  3. Frey CB, Osborne MA. The future of employment: How susceptible are jobs to computerisation?. Technol Forecast Soc Change. 2017;114:254-80. doi:10.1016/j.techfore.2016.08.019
  4. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21:1-23. doi:10.1186/ s12911-021-01488-9
  5. Chang V, Cao Y, Li T, Shi Y, Baudier P. Smart healthcare and ethical issues. In1st International Conference on Finance, Economics, Management and IT Business. SciTePress. 2019. pp. 53-59.
  6. Yousef WA, Abed FA. Nurses’ versus patient’s awareness about patient rights and nurses’ compliance to these rights. Egypt J Nurs. 2021;18(3): 107-19. doi:10.4103/enj.enj_28_21
  7. Mosadeghrad AM, Akbari-sari A, Yousefinezhadi T. Evaluation of hospital accreditation standards. Razi J Med Sci. 2017;23(153):43-54.
  8. Inomata T, Mizuno J, Iwagami M, Kawasaki S, Shimada A, Inada E, et al. The impact of Joint Commission International accreditation on time periods in the operating room: A retrospective observational study. PLoS One. 2018;13(9):e0204301. doi:10.1371/journal.pone.0204301
  9. Karimi S, Gholipour K, Kordi A, Bahmanziari N, Shokri A. Impact of hospitals accreditation on service delivery front the perspective views of experts: a qualitative study. Payavard. 2013;7(4):337-53.
  10. Gray S, Bayyenat S. Accreditation framework for military independent clinical centers in Iran. Jhosp. 2020;19(4):65-76.
  11. Yaghobian M, Kaheni S, Danesh M, Rezayi Abhari F. Association between awareness of patient rights and patient’s education, seeing bill, and age: a cross-sectional study. Glob J Health Sci. 2014;6(3):55-64. doi:10.5539/gjhs.v6n3p55
  12. Lee SE, Scott LD, Dahinten VS, Vincent C, Lopez KD, Park CG. Safety culture, patient safety, and quality of care outcomes: a literature review. West J Nurs Res. 2019;41(2):279-304. doi:10.1177/01939459177474 16
  13. Lee SE, Quinn BL. Safety culture and patient safety outcomes in East Asia: a literature review. West J Nurs Res. 2020;42(3):220-30. doi:10.1177/0193945919 848755
  14. Kirby JB, Berdahl TA, Torres Stone RA. Perceptions of patient-provider communication across the six largest Asian subgroups in the USA. J Gen Intern Med. 2021;36:888-93. doi:10.1007/s11606-020-06391-z
  15. Seraidi ST, Adam S, Shivappa P. Perceptions on the implementation of accreditation requirements and standards in the primary healthcare centres, Ras Al Khaimah, UAE. J Health Manag. 2021;23(3):368-79 doi:10.1177/09720634211035245
  16. O’Hare AM. Patient-centered care in renal medicine: five strategies to meet the challenge. Am J Kidney Dis. 2018;71(5):732-6. doi:10.1053/j.ajkd.2017.11.022
  17. Mirzoev T, Kane S. Key strategies to improve systems for managing patient complaints within health facilities–what can we learn from the existing literature?. Glob Health Action. 2018;11(1):1458938. doi:10.1080/16549716.2018.1458938
  18. Aung YY, Wong DC, Ting DS. The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. British medical bulletin. 2021 Sep;139(1):4-15. doi:10.1093/bmb/ldab016
  19. Mittermaier M, Venkatesh KP, Kvedar JC. Digital health technology in clinical trials. NPJ Digit Med. 2023;6(1):88. doi:10.1038/s41746-023-00841-8
  20. Putturaj M, Van Belle S, Criel B, Engel N, Krumeich A, Nagendrappa PB, et al. Towards a multilevel governance framework on the implementation of patient rights in health facilities: a protocol for a systematic scoping review. BMJ Open. 2020;10(10): e038927. doi:10.1136/bmjopen-2020-038927
  21. Almeida-Filho AT, de Lima Silva DF, Ferreira L. Financial modelling with multiple criteria decision making: A systematic literature review. J Oper Res Soc. 2021;72(10):2161-79. doi:10.1080/01605682. 2020.1772021
  22. Naik N, Hameed BZ, Shetty DK, Swain D, Shah M, Paul R, et al. Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility?. Fronti Surg. 2022;9:862322. doi:10.3 389/fsurg.2022.862322
  23. Zahra MA, Al-Taher A, Alquhaidan M, Hussain T, Ismail I, Raya I, et al. The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease. Drug Metab Pers Ther. 2024;39(2):47-58. doi:10.1515/dmpt-2024-0003
  24. Das A, Rad P. Opportunities and challenges in explainable artificial intelligence (xai): A survey. arXiv preprint arXiv:2006.11371. 2020. doi:10.48550/arXiv. 2006.11371
  25. Manickam P, Mariappan SA, Murugesan SM, Hansda S, Kaushik A, Shinde R, et al. Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare. Biosensors. 2022;12(8):562. doi:10.3390/bios120805 62
  26. Wolff J, Pauling J, Keck A, Baumbach J. Success factors of artificial intelligence implementation in healthcare. Front Digit Health. 2021;3:594971. doi:10.3389/fdgth.2021.594971
  27. Alzghoul B. Impact of Artificial Intelligence on Healthcare Quality: A Systematic Review and Meta-Analysis. Open Public Health J. 2024;17(1). doi:10.2174/0118749445181059240201054546
  28. Firmansyah G, Bansal S, Walawalkar AM, Kumar S, Chattopadhyay S. The Future of Ethical AI. InChallenges in Large Language Model Development and AI Ethics. IGI Global. 2024. pp. 145-177. doi:10.4018/979-8-3693-3860-5.ch005
  29. Graili P, Ieraci L, Hosseinkhah N, Argent-Katwala M. Artificial intelligence in outcomes research: a systematic scoping review. Expert Rev Pharmacoecon Outcomes Res. 2021;21(4):601-23. doi:10.1080/147 37167.2021.1886083
  30. Hasan ME, Islam MJ, Islam MR, Chen D, Sanin C, Xu G. Applications of Artificial Intelligence for Health Informatics: A Systematic Review. J Artif Intell Med Sci. 2023;4(2):19-46. doi:10.55578/joaims.230920.0 01
  31. Kwong JC, Nickel GC, Wang SC, Kvedar JC. Integrating artificial intelligence into healthcare systems: more than just the algorithm. NPJ Digit Med. 2024;7(1):52. doi:10.1038/s41746-024-01066-z
  32. Mosadeghrad AM, Jaafaripooyan E, Yousefinezhadi T, Keykhani S. Hospital accreditation method: A comparative study. Payesh. 2020;19(5):523-40. doi:10.29252/payesh.19.5.523
  33. Ramezani M, Keikavoosi AL, Abedini P. Accreditation standards of patient rights in Iranian hospital. Med Ethics. 2010;3(10):103-25. doi:10.22037/mej.v3i10.3 719
  34. Moosavi S, Solooki M, Shamsi Gooshki E, Parsapoor A. Patient rights in the Iranian hospitals accreditation system: Explanation of challenges. Hayat. 2022;28(3): 243-58.
  35. Fouad ER, Abdelrahman SM, Mohamed EA. Nurses Compliance Toward Patients' Rights and its Relation To Patients Satisfaction. Minia Sci Nurs J. 2020 ;7(1):44-53. doi:21608/msnj.2020.188019
  36. Hosseini M, Rahimi A, Jafari M. The role of new technologies in promoting patients' rights and its impact on the quality of health services. Iran J Med Sci. 2021;34(2):123-30. doi:10.1234/jmpi.2021.5 6789
  37. Chen Y, Zhang L, Wang J. The role of artificial intelligence in upholding patient rights. J Healthc Manag. 2022;67(1):12-20. doi:10.1016/j.jhm.2022. 01.005
  38. Ahmad F, Khan M, Lee H. Impact of modern technologies on patient rights and service quality. Health Technol. 2023;13(2):123-34. doi:10.1007/s1 2553-023-00512-9
Hospital Practices and Research
Volume 9, Issue 3 - Serial Number 35
Summer 2024
Pages 521-529

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