Abukhadijah Hana J, Nashwan Abdulqadir J
Academic Health System Department, Hamad Medical Corporation, Doha, Qatar.
Nursing & Midwifery Research Department, Hamad Medical Corporation, Doha, Qatar.
Glob J Qual Saf Healthc. 2024 Aug 1;7(3):132-139. doi: 10.36401/JQSH-24-4. eCollection 2024 Aug.
This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital quality improvement to transform quality and patient safety. It examines the application of AI at the two following fundamental levels: (1) diagnostic and treatment and (2) clinical operations. AI applications in diagnostics directly impact patient care and safety. At the same time, AI indirectly influences patient safety at the clinical operations level by streamlining (1) operational efficiency, (2) risk assessment, (3) predictive analytics, (4) quality indicators reporting, and (5) staff training and education. The challenges and future perspectives of AI application in healthcare, encompassing technological, ethical, and other considerations, are also critically analyzed.
本政策分析聚焦于利用人工智能(AI)在医院质量改进方面的力量,以变革医疗质量和患者安全。它审视了人工智能在以下两个基本层面的应用:(1)诊断与治疗;(2)临床运营。人工智能在诊断方面的应用直接影响患者护理和安全。同时,人工智能通过提高(1)运营效率、(2)风险评估、(3)预测分析、(4)质量指标报告以及(5)员工培训与教育,在临床运营层面间接影响患者安全。此外,还对人工智能在医疗保健领域应用的挑战和未来前景进行了批判性分析,其中涵盖技术、伦理及其他方面的考量。