在肌肉骨疼痛疾病中接受和使用临床决策支持系统 - SupportPrim项目
Fredrik Granviken1,2, Ingebrigt Meisingset3,4, Ottar Vasseljen3
1Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Postboks 8905, Trondheim, 7491, Norway. fredrik.granviken@ntnu.no.
BMC medical informatics and decision making
|December 20, 2023
概括
一个使用人工智能的新的临床决策支持系统 (CDSS) 用于肌肉骨疼痛管理被认为是可接受的,可以被理疗师和患者使用. 然而,它并没有显著改变临床推理,强调需要更好的实施和培训.
科学领域:
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
- 肌肉骨疼痛管理 肌肉骨疼痛管理
背景情况:
- 使用人工智能 (AI) 开发了一种临床决策支持系统 (CDSS),以帮助理疗师和患者管理肌肉骨 (MSK) 疼痛障碍.
- 该CDSS识别了类似的成功的过去患者,以推治疗方法,从一个适合所有人到个性化的护理.
研究的目的:
- 总结基于AI的CDSS用于MSK疼痛的发展情况.
- 探索物理治疗师和初级保健患者中CDSS的接受度和可用性.
主要方法:
- 在挪威初级物理治疗护理中进行的一项定性研究.
- 包括四名理疗师和12名患有各种MSK疼痛疾病的患者.
- 使用框架方法分析的半结构化的电话采访.
主要成果:
- 物理治疗师和患者都认为CDSS是可以接受和可用的.
- 该系统被视为准备和探索治疗选择的工具,增强治疗关系.
- 物理治疗师主要使用CDSS来支持现有实践,而不是增加患者参与决策.
结论:
- CDSS是可以接受和可用的,但没有显著影响物理治疗师的临床推理或治疗选择.
- 可能的原因包括有限的患者数据库或不充分的临床实施.
- 广泛的培训对于建立物理治疗师对CDSS采用的理解和信任至关重要.
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