用人工智能优化长期设施人员配置:将护理与需求和资源对齐
Abubakar Sadiq Bouda Abdulai1, Jean Storm1, Jill Manna1
1Quality Insights, Inc, Charleston, WV, USA.
Journal of the American Medical Directors Association
|October 20, 2025
概括
长期护理设施的新医疗保险和医疗补助服务中心人员规则面临辩论. 人工智能为定制的,基于结果的护理人员建议提供了数据驱动的解决方案.
科学领域:
- 医疗保健管理的管理
- 护理信息学 护理信息学
- 医疗保健中的人工智能
背景情况:
- 美国医疗保险和医疗补助服务中心 (CMS) 要求在长期护理机构提供最低护理人员工作时间和现场注册护士.
- 该法规旨在提高居民的安全和护理质量,但在实用性和统一应用方面引起了争议.
- 设施面临着平衡固定人员任务与不同居民需求和运营约束的挑战.
研究的目的:
- 提出人工智能 (AI) 辅助的方法来评估和推长期护理机构的人员水平.
- 提供灵活的,以数据为导向的替代方案,而不是严格的员工授权.
- 支持量身定制的,基于结果的员工战略,尊重设施特定的环境.
主要方法:
- 利用长期护理机构中现有的数据来源.
- 开发一种人工智能驱动的方法来分析居民需求和运营数据.
- 以数据为基础,为最佳的护理人员配备水平提出建议.
主要成果:
- 拟议的AI方法为个性化人员推提供了一个框架.
- 它使设施能够使人员与特定居民的敏度和护理要求保持一致.
- 该方法支持基于证据的资源分配决策.
结论:
- 人工智能为长期护理中统一的人事法规所带来的挑战提供了可行的解决方案.
- 一种人工智能辅助的方法可以促进适应性,以居民为中心的员工模式.
- 这项技术支持改善护理质量,同时承认各种长期护理环境的操作现实.
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