超越治疗师办公室:在现实世界中融合基于测量的护理和数字医学。

Q1 Computer Science Digital Biomarkers Pub Date : 2021-07-29 eCollection Date: 2021-05-01 DOI:10.1159/000517748
Emil Chiauzzi, Paul Wicks
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引用次数: 5

摘要

这一观点侧重于数字医学和基于测量的护理可以协同使用的方式,以促进更好的评估,患者参与和提高精神病学护理的质量。迄今为止,精神病学对数字测量的利用不足,对数字医学中的反馈和患者参与过程的讨论很少。基于测量的护理是一种公认的基于证据的策略,它使患者了解其结果数据。当按照设计实施时,提供者会立即审查结果的得分和趋势,然后向患者提供反馈。然而,这一过程通常仅限于办公室访问,这并不能提供患者进展和功能的完整图景。这个过程是劳动密集型的,即使有数字反馈系统,但通过可穿戴设备和应用程序获得的被动指标的整合可以补充办公室的观察结果。这种增强的基于测量的护理过程可以通过被动指标(活动、睡眠等)提供真实世界患者功能的图片。这可能会让患者更多地参与到他们的健康数据中,并涉及到数字医学中急需的治疗联盟组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Beyond the Therapist's Office: Merging Measurement-Based Care and Digital Medicine in the Real World.

This viewpoint focuses on the ways in which digital medicine and measurement-based care can be utilized in tandem to promote better assessment, patient engagement, and an improved quality of psychiatric care. To date, there has been an underutilization of digital measurement in psychiatry, and there is little discussion of the feedback and patient engagement process in digital medicine. Measurement-based care is a recognized evidence-based strategy that engages patients in an understanding of their outcome data. When implemented as designed, providers review the scores and trends in outcome immediately and then provide feedback to their patients. However, the process is typically confined to office visits, which does not provide a complete picture of a patient's progress and functioning. The process is labor intensive, even with digital feedback systems, but the integration of passive metrics obtained through wearables and apps can supplement office-based observations. This enhanced measurement-based care process can provide a picture of real-world patient functioning through passive metrics (activity, sleep, etc.). This can potentially engage patients more in their health data and involve a critically needed therapeutic alliance component in digital medicine.

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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
期刊最新文献
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