Quality Assurance in Healthcare: Using AI to Enhance Patient Safety
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V4I2P102Keywords:
Artificial Intelligence (AI), Healthcare Quality Assurance, Patient Safety, Predictive Analytics, Machine Learning, Automated Monitoring, Early Diagnosis, Personalized TreatmentAbstract
Today, the application of Artificial Intelligence (AI) in the evaluation of quality care is significantly transforming patient safety. The methods of AI that are used in this field, the scope of the AI applicability, and the resulting enhancement of the patient care system are also described in this paper. The benefits of using AI in cancer include the improved use of machine learning algorithms, the prediction of the ability of analytics, and the automation of tools for monitoring errors. The paper reviews existing publications, explains new approaches, shows the findings of the studies, and elucidates general directions for developing healthcare practices in the future. This systematic review, therefore, implies the improvement of Patient Safety by adopting AI in Health quality assurance
References
[1] Patrick Tighe, Artificial Intelligence and Patient Safety: Promise and Challenges, 2024. online. https://psnet.ahrq.gov/perspective/artificial-intelligence-and-patient-safety-promise-and-challenges
[2] Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). The role of artificial intelligence in healthcare: a structured literature review. BMC medical informatics and decision making, 21, 1-23.
[3] Greiner, A. C., & Knebel, E. (2003). Challenges facing the health system and implications for educational reform. In Health Professions Education: A Bridge to Quality. National Academies Press (US).
[4] Choudhury, Avishek, and Onur Asan. "Role of artificial intelligence in patient safety outcomes: systematic literature review." JMIR medical informatics 8, no. 7 (2020): e18599.
[5] The Role of AI in Quality & Safety Improvement, theater, online. https://theator.io/blog/ai-in-quality-safety-improvement/
[6] Vera Ehrenstein, M.P.H., D.Sc., Professor, Hadi Kharrazi, M.H.I. M.D. Ph.D. (lead author), Assistant Professor, Assistant Director, Harold Lehmann, M.D. PhD, Associate Professor, and Casey Overby Taylor, Ph.D., Assistant Professor of Medicine. Chapter 4: Obtaining Data From Electronic Health Records, https://www.ncbi.nlm.nih.gov/books/NBK551878/
[7] What is an electronic health record (EHR)?, online. https://www.healthit.gov/faq/what-electronic-health-record-ehr
[8] Peter Tarczy-Hornoch, Chapter 2 - Evaluation of Therapeutic Recommendations, Database Management, and Information Retrieval, Avery's Diseases of the Newborn (Ninth Edition), Pages 10-17, 2012, https://doi.org/10.1016/B978-1-4377-0134-0.10002-2
[9] Top 12 ways artificial intelligence will impact healthcare, techtarget, 2024. https://www.techtarget.com/healthtechanalytics/feature/Top-12-ways-artificial-intelligence-will-impact-healthcare
