加强医生遵守2023年苏丹疟疾病例管理协议,使用人工智能作为干预工具
Abubakr Muhammed1, Samir Ibrahim2, Abdulrahman Abbas Yusuf Mohammed3
1Radiology, University of Cape Town, Cape Town, ZAF.
Cureus
|November 10, 2025
概括
人工智能 (AI) 临床决策支持系统 (CDSS) 显著改善了苏丹医生遵守疟疾治疗协议的情况. 这种人工智能工具增强了疟疾病例管理,尽管需要进一步整合.
科学领域:
- 医疗信息学 医疗信息学
- 传染病管理 传染病管理
- 公共卫生 公共卫生
背景情况:
- 疟疾在苏丹造成了严重的健康负担,医生不遵守治疗方案会影响患者的治疗结果.
- 2023年苏丹疟疾病例管理议定书引入了更新的指导方针,但临床实践的差距仍然存在.
- 人工智能 (AI) 提供了开发临床决策支持系统 (CDSS) 的潜力,以标准化疟疾护理.
研究的目的:
- 评估基于AI的CDSS对医生遵守2023年苏丹疟疾病例管理协议的影响.
- 在AI实施后评估疟疾诊断和治疗实践的改进.
主要方法:
- 一项两轮临床审计,涉及Al-Managil教学医院的50名医生.
- 通过问卷进行干预前评估,然后进行AI-CDSS实施和培训.
- 使用统计分析,比较人工智能干预前后的合规率.
主要成果:
- 协议的认可率从38%增加到100%,对阿特苏纳酸作为一线治疗的认识从53%增加到98%.
- 对严重疟疾管理的态度明显改善 (15%至91%),100%及时开始治疗.
- 平均遵守率从50.7%升至96.8%,尽管显微镜报告和G6PD测试显示了剩余的缺陷.
结论:
- 人工智能驱动的CDSS与培训相结合,大大提高了医生对疟疾协议的遵守.
- 局限性包括潜在的霍桑效应和缺乏临床结果数据.
- 扩大这种方法需要解决基础设施和数字素养挑战,以对苏丹疟疾负担产生更广泛的影响.
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