SBIR-STTR Award

Acuity - A Clinical Decision Support System for Applied Behavior Analysis
Award last edited on: 2/16/2024

Sponsored Program
SBIR
Awarding Agency
NIH : NIMH
Total Award Amount
$1,367,270
Award Phase
2
Solicitation Topic Code
242
Principal Investigator
Rex M Jakobovits

Company Information

Experiad LLC

4009 Black Point Rd
Honolulu, HI 96816
   (206) 588-5811
   info@experiad.com
   www.experiad.com
Location: Single
Congr. District: 01
County: Honolulu

Phase I

Contract Number: 1R44MH131510-01
Start Date: 9/1/2022    Completed: 8/31/2025
Phase I year
2022
Phase I Amount
$679,957
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.

Public Health Relevance Statement:
PROJECT NARRATIVE This proposal will result in a major new clinical decision support software system, Acuity, which will assist Behavior Analysts in the delivery of Applied Behavior Analysis (ABA), which is the leading treatment for autism. Acuity will integrate with existing ABA software that the clinics are using to collect data and view charts. Acuity will offering significant improvements in treatment planning, progress tracking, trend monitoring, dosage management, and staff assessment.

Project Terms:
Adoption; Behavior; Data Collection; Evaluation Studies; Exhibits; Future; Goals; Helping Behavior; Research; Software; Computer software; Supervision; Time; Treatment Protocols; Treatment Regimen; Treatment Schedule; Work; Generations; falls; Schedule; TimeLine; autistic children; children with ASD; children with autism; children with autism spectrum disorder; base; dosage; improved; Clinical; Phase; Evaluation; insight; programs; Adopted; Frequencies; Clinic; System; Clinical Decision Support Systems; Outcome Study; Performance; success; cohort; treatment planning; member; Palate; develop software; developing computer software; software development; Provider; Address; Autism; Autistic Disorder; Early Infantile Autism; Infantile Autism; Kanner's Syndrome; autistic spectrum disorder; autism spectrum disorder; Adherence; Data; Clinical Data; Monitor; trend; software systems; design; designing; Population; Impact evaluation; effective therapy; effective treatment; Statistical Algorithm; Statistics Algorithm; dashboard; applied behavior analysis; applied behavioral analysis; recruit; clinical decision support; statistical and machine learning; implementation design; implementation research design; implementation outcomes

Phase II

Contract Number: 5R44MH131510-02
Start Date: 9/1/2022    Completed: 8/31/2025
Phase II year
2023
Phase II Amount
$687,313
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.

Public Health Relevance Statement:
PROJECT NARRATIVE This proposal will result in a major new clinical decision support software system, Acuity, which will assist Behavior Analysts in the delivery of Applied Behavior Analysis (ABA), which is the leading treatment for autism. Acuity will integrate with existing ABA software that the clinics are using to collect data and view charts. Acuity will offering significant improvements in treatment planning, progress tracking, trend monitoring, dosage management, and staff assessment.

Project Terms:
Adoption; Behavior; Calibration; Data Collection; Evaluation Studies; Exhibits; Future; Goals; Helping Behavior; Productivity; Research; Computer software; Software; Supervision; Time; Treatment Protocols; Treatment Regimen; Treatment Schedule; Work; Accountability; Generations; falls; Schedule; timeline; children with ASD; children with autism; children with autism spectrum disorder; autistic children; dosage; improved; Clinical; Phase; Evaluation; insight; programs; Adopted; Frequencies; Clinic; System; Clinical Decision Support Systems; Outcome Study; Performance; success; cohort; treatment planning; member; software development; develop software; developing computer software; Provider; autism spectrum disorder; Autism; Autistic Disorder; Early Infantile Autism; Infantile Autism; Kanner's Syndrome; autistic spectrum disorder; Adherence; Data; Clinical Data; Monitor; trend; software systems; designing; design; Population; Impact evaluation; effective treatment; effective therapy; Statistics Algorithm; Statistical Algorithm; dashboard; applied behavioral analysis; applied behavior analysis; recruit; clinical decision support; machine learned algorithm; machine learning based algorithm; machine learning algorithm; implementation research design; implementation design; implementation outcomes