Acuity - A Clinical Decision Support System for Applied Behavior Analysis

项目摘要/摘要 这项提议将产生一个重要的新的临床决策支持软件系统，Acuity，它将帮助 提供应用行为分析(ABA)的行为分析员(BA)和行为技术员(BTS)， 这是自闭症的主要治疗方法。这是一项开发软件和执行功能的建议 从12个自闭症治疗诊所招募的34名自闭症患者的影响和实施结果研究 敏锐性是他们日常练习的一部分。新的Acuity软件将与现有的ABA软件集成， 诊所已经在用来收集数据和查看图表。敏锐度将在治疗中提供显著改善 计划、进度跟踪、趋势监测、剂量管理和工作人员评估。研究表明， 表明第一代系统不足以支持超负荷工作的BA 正在收集的数据。敏锐度将通过在以下方面实现更灵活的临床决策来解决严重不足 多方面的治疗，为从业者提供了新水平的严格、实时的洞察 临床数据。敏锐度将采用机器学习和统计算法，以促进更准确和 负责ABA治疗计划的时间表管理，使用从过去分析得出的估计 为当前学员校准的绩效指标和目标级努力评估。届时敏锐度将会 帮助BA将自闭症儿童的实际进展与预期进展进行比较，以实现基于时间的工作 里程碑。只要目标显示出显著的性能趋势，或者当 行为超过阈值，或剂量低于规定的水平。此外，Acuity还将帮助 通过提供一个仪表板来评估和比较#年工作人员的整体效率进行监督 治疗的提供及其对规定的目标剂量的坚持。通过这些方式，Acuity将帮助BA提供 反应更灵敏，治疗更有效。这项研究将决定临床是否有能力采用 并使用Acuity，以及Acuity对BAS和BTS的影响程度，方法是：(1)进行时间线估计 更准确，(2)增加纠正治疗行动的及时性，以及(3)提高对 处方剂量。

PROJECT SUMMARY / ABSTRACT This proposal will result in a major new clinical decision support software system, Acuity, which will assist Behavior Analysts (BAs) and Behavior Technicians (BTs) in the delivery of Applied Behavior Analysis (ABA), which is the leading treatment for autism. This is a proposal to develop software and perform a functional impact and implementation outcomes study on 34 BAs recruited from 12 autism therapy clinics who will use Acuity as part of their daily practice. The new Acuity software will integrate with existing ABA software that clinics are already using to collect data and view charts. Acuity will offer significant improvements in treatment planning, progress tracking, trend monitoring, dosage management, and staff assessment. Research has shown that first-generation systems do not do enough to support overworked BAs who are overwhelmed with the data being collected. Acuity will address critical shortfalls by enabling more agile clinical decisions across multiple aspects of treatment, providing practitioners with new levels of rigorous, real-time insight into their clinical data. Acuity will employ machine-learning and statistical algorithms to facilitate more accurate and accountable timeline management for ABA treatment plans, using estimations derived from analysis of past performance metrics and target-level effort assessment that is calibrated for the current learner. Acuity will then help the BA compare actual to expected progress as the child with autism works towards time-based milestones. Acuity will proactively alert BAs whenever a target exhibits notable performance trends, or when a behavior spikes above a threshold, or dosage falls below prescribed levels. Additionally, Acuity will help with supervision by providing a dashboard for evaluation and comparison of staff members’ overall efficiency in therapy delivery and their adherence to prescribed target dosage. In these ways, Acuity will help BAs provide a more responsive and effective treatment. This research will determine the success of clinics’ ability to adopt and use Acuity, and the extent to which Acuity impacts BAs and BTs by (1) making their timeline estimates more accurate, (2) increasing the timeliness of corrective treatment actions, and (3) improving adherence to prescribed dosage.