对基于人工智能的临床决策支持工具的看法,用于在多种长期条件下处方:英格兰通用实践临床医生的定性研究
Alexander d'Elia1, Simon George Morris2, Jennifer Cooper2
1College of Medicine and Health, University of Birmingham Institute of Applied Health Research, Birmingham, UK a.delia.1@bham.ac.uk.
BMJ open
|November 24, 2025
概括
基于人工智能的临床决策支持系统 (AICDSS) 显示出改善对患有多种长期疾病的患者的处方的希望. 需要进一步的研究来应对实施挑战,并优化其在初级保健中的使用.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 基于人工智能的临床决策支持系统 (AICDSS) 是初级保健处方的新兴工具.
- 有限的研究存在于医疗保健专业人员 (HCP) 的看法和AICDSSs的最佳实施.
研究的目的:
- 探索有关使用AICDSS在患有多种长期疾病 (MLTC) 的患者处方的医疗保健工作者观点.
- 评估AICDSS与MLTC管理中的共享决策 (SDM) 的相关性.
主要方法:
- 采用半结构面试模板分析的定性研究.
- 采访是基于一个案例简介和一个AICDSS的模型.
- 参与者包括英语初级保健中的全科医生,护士处方师和处方药师.
主要成果:
- 医疗人员发现AICDSS易于使用,是临床指南的宝贵补充,特别是在MLTC和多药房.
- 担忧包括系统集成,医疗法律问题,管理指导方针差异以及对患者和处方者关系的影响.
- 关于AICDSS是否会增强SDM的意见各不相同.
结论:
- 与OPTIMAL工具一样,AICDSS具有优化MLTC患者药物治疗的潜力.
- 解决具体问题和确保仔细实施对于实现AICDSS在临床实践中的好处至关重要.
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