Acuity - A Clinical Decision Support System for Applied Behavior Analysis

Acuity - 应用行为分析的临床决策支持系统

• 批准号: 10552494
• 负责人: REX M JAKOBOVITS
• 金额: $ 68万
• 依托单位: EXPERIAD, LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10552494
• 关键词: Address; Adherence; Adopted; Adoption; Behavior; Clinic; Clinical; Clinical Data; Clinical Decision Support Systems; Computer software; Data; Data Collection; Evaluation; Evaluation Studies; Exhibits; Frequencies; Future; Generations; Goals; Helping Behavior; Impact evaluation; Monitor; Outcome Study; Palate; Performance; Phase; Population; Provider; Research; Schedule; Statistical Algorithm; Supervision; System; Time; TimeLine; Treatment Protocols; Work; applied behavior analysis; autism spectrum disorder; autistic children; base; clinical decision support; cohort; dashboard; design; dosage; effective therapy; falls; implementation design; implementation outcomes; improved; insight; member; programs; recruit; software development; software systems; statistical and machine learning; success; treatment planning; trend

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.

项目摘要 /摘要 该建议将导致一个主要的新临床决策支持软件系统Acuity，这将有助于 行为分析师（BAS）和行为技术人员（BTS）在应用行为分析（ABA）中， 这是自闭症的领先治疗方法。这是开发软件并执行功能的建议 对12个自闭症治疗诊所招募的34名BAS的影响和实施结果研究，他们将使用 敏锐度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 诊所已经用来收集数据并查看图表。敏锐度将在治疗方面有重大改善 计划，进度跟踪，趋势监测，剂量管理和员工评估。研究有 表明第一代系统的作用不足以支持不知所措的过度劳累的BAS 收集的数据。敏锐度将通过在整个范围内实现更敏捷的临床决策来解决关键的缺口 治疗的多个方面，为从业者提供了新的严格，实时洞察力的水平 临床数据。敏锐度将采用机器学习和统计算法来促进更准确和 使用对过去的分析得出的估计，对ABA治疗计划负责的时间表管理 为当前学习者校准的绩效指标和目标级别的努力评估。敏锐度会 随着自闭症儿童在基于时间的基础上工作，可以帮助BA与预期的进步进行比较 里程碑。每当目标表现出明显的性能趋势，或者 行为高于阈值或剂量低于规定的水平。此外，敏锐度将有助于 通过提供仪表板来评估和比较员工的总体效率来进行监督 治疗递送及其对处方靶剂量的遵守。通过这些方式，敏锐度将有助于BAS提供 更敏感和有效的治疗。这项研究将决定诊所采用能力的成功 并使用敏锐度，以及敏锐度影响BAS和BT的程度（1）进行时间表估算 更准确，（2）增加纠正治疗措施的及时性，（3）提高依从性 处方剂量。