SBIR/STTR Research Award

Acuity - A Clinical Decision Support System for Applied Behavior Analysis

Award identifier ca95352af3ec90f2abe4837f87b2bc118cda9151cc94b0b1fac6292bc2192851Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,052,300

Program and phase

SBIR · Phase II

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Experiad LLC
Proposal award date
2022-09-01
Contract end date
2025-08-31
UEI
CK79K8MLNQE7
Solicitation number
PA21-260
Topic code
104

Research abstract

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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2013–2022). Reported award amounts total $10,591,366. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.