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首页> 美国卫生研究院文献>AMIA Annual Symposium Proceedings >Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records
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Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records

机译：从实践中学习个性化：基于护理管理记录中不同患者行为反应的护理计划个性化的现实证据方法

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摘要

Recent studies documented the importance of individuality and heterogeneity in care planning. In practice, varying behavioral responses are revealed in patients’ care management (CM) records. However, today’s care programs are structured around population-level evidence. What if care managers can take advantage of the revealed behavioral response for personalization? The goal of this study is thus to quantify behavioral response from CM records for informing individual-level intervention decisions. We present a Behavioral Response Inference Framework (BRIeF) for understanding differential behavioral responses that are key to effective care planning. We analyze CM records from a healthcare network over a 14-month period and obtain a set of 2,416 intervention-goal attainment records. Promising results demonstrate that the individual-level care planning strategies that are learned from practice by BRIeF, outperform population-level strategies, yielding significantly more accurate intervention recommendations for goal attainment. To our knowledge, this is the first study of learning practice-based evidence from CM records for care planning, suggesting that increased patient behavioral understanding could potentially benefit augmented intelligence for care management decision support.
机译：最近的研究证明了个性化和异质性在护理计划中的重要性。实际上，在患者的护理管理（CM）记录中会揭示各种行为反应。但是，当今的护理计划是围绕人口水平的证据构建的。如果护理经理可以利用所揭示的行为反应进行个性化设置，该怎么办？因此，本研究的目的是量化CM记录中的行为反应，以告知个人级别的干预决策。我们提出了一种行为反应推论框架（BRIeF），用于理解对于有效护理计划至关重要的不同行为反应。我们分析了一个医疗保健网络在14个月内的CM记录，并获得了2416个干预目标实现记录。有希望的结果表明，BRIeF从实践中学到的个人级别的护理计划策略优于人群级别的策略，从而为实现目标提供了更为准确的干预建议。据我们所知，这是首次从CM记录中学习基于实践的证据以进行护理计划的研究，这表明增加患者对行为的了解可能会有益于增强的智能，从而为护理管理决策提供支持。

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