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Abstract：
Outcome measurement including data-informed decision support for therapists in psychological therapy has developed impressively over the past two decades. New technological developments such as computerized data assessment, and feedback tools have facilitated advanced implementation in several seetings. Recent developments try to improve the clinical decision-making process by connecting clinical practice better with empirical data. For example, psychometric data can be used by clinicians to personalize the selection of therapeutic programs, strategies or modules and to monitor a patient\'s response to therapy in real time. Furthermore, clinical support tools can be used to improve the treatment for patients at risk for a negative outcome. Therefore, measurement-based care can be seen as an important and integral part of clinical competence, practice, and training. This is comparable to many other areas in the healthcare system, where continuous monitoring of health indicators is common in day-to-day clinical practice (e.g., fever, blood pressure). In this paper, we present the basic concepts of a data-informed decision support system for tailoring individual psychological interventions to specific patient needs, and discuss the implications for implementing this form of precision mental health in clinical practice.
摘要：
在过去的二十年中，包括对心理治疗治疗师的数据知情决策支持在内的结果测量取得了令人印象深刻的发展。计算机化数据评估等新技术发展，和反馈工具促进了几次会议的先进实施。最近的发展试图通过更好地将临床实践与经验数据联系起来来改善临床决策过程。例如,临床医生可以使用心理测量数据来个性化选择治疗方案，策略或模块，并实时监测患者对治疗的反应。此外，临床支持工具可用于改善有阴性结果风险的患者的治疗。因此,基于测量的护理可以被视为临床能力的重要组成部分，实践,和训练。这与医疗保健系统中的许多其他领域相当，连续监测健康指标在日常临床实践中很常见(例如，发烧,血压）。在本文中,我们介绍了数据知情决策支持系统的基本概念，用于根据特定患者需求定制个人心理干预措施，并讨论了在临床实践中实施这种形式的精确心理健康的意义。
