在阿片类药物治疗计划中提高咨询和临床监督的质量:技术如何帮助?
K Michelle Peavy1, Angela Klipsch2, Christina S Soma3
1PRISM, Department of Community and Behavioral Health, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
Addiction science & clinical practice
|January 20, 2024
概括
人工智能工具可以帮助阿片类药物治疗计划提高咨询技能和监督. 这项技术支持基于证据的实践,并增强了辅导员和监督员在应对阿片类药物流行病方面的经验.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床心理学 临床心理学
- 医疗信息学 医疗信息学
背景情况:
- 阿片类药物流行病使物质使用治疗服务和临床工作人员受到压力.
- 基于证据的咨询,就像激励面试一样,至关重要,但由于忙碌的阿片类药物治疗计划 (OTP) 的时间限制,其实施具有挑战性.
- 机器学习和自然语言处理为通过会话记录分析进行系统的临床培训和监督提供了潜在的解决方案.
研究的目的:
- 探索基于人工智能的记录和监督平台的可接受性和潜力,用于OTP环境中的顾问和监督员.
- 了解如何将技术整合到阿片类药物使用障碍治疗的临床实践和监督中.
主要方法:
- 一个OTP的辅导员使用了一个基于AI的,符合HIPAA的平台 (Lyssn.io) 来记录辅导会议.
- 四个重点小组 (两个与辅导员,两个与监督员) 进行了收集对技术集成的反.
- 使用主题编码来分析参与者对软件可接受性和实用性的反应.
主要成果:
- 辅导员和监督员发现人工智能监督软件对培训,专业发展和满足监督指南有好处.
- 参与者报告说,该软件可以增强激励面试技巧,并突出直接客户互动对行政任务的价值.
- 两组都承认与强制性会话记录相关的潜在挑战.
结论:
- 机器学习技术可以积极影响OTP的临床实践,支持面临劳动力挑战的顾问和监督员.
- 利用技术来培养临床技能可以改善现场辅导员和监督员的整体工作经验.
- 通过技术专注于临床技能可以加强辅导员在治疗阿片类药物使用障碍方面的重要性和价值.
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