Forecasting

Integrity Partners for Behavioral Health · Innovative Solutions

Vendor-reportedHealthcareUnited StatesIn productionClassical ML

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by innovativesol.com (vendor self-report). Checked against the source page on 2026-09-06. 4 of 4 figures below appear on that page word for word.

The problem

Fragmented partner data across different EHR systems, no unified analytics, no self-service for partners, and lack of predictive analytics for patient no-shows.

What was deployed

Vendor
Innovative Solutions
Products
Amazon Athena, AWS Glue, AWS Lambda, Amazon QuickSight, Amazon Route 53, Amazon S3
Technique
Classical ML
Build or buy
Built in-house or to order
Deployment
Custom build
Data used
Electronic Health Record (EHR) system data, raw CSV and Excel exports
Scale
10 partner organizations

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

10Partner organizations onboarded

10 partner organizations onboarded onto the unified data platform

Quoted word for word from the source

No-show prediction accuracy

30% improvement in no-show prediction accuracy via machine learning models

Quoted word for word from the source · round percentage, no baseline given

Partner onboarding timeper partner onboarding cycle

50% reduction in time spent per partner onboarding cycle

Quoted word for word from the source · round percentage, no baseline given

approximately 30 minutesData processing time

giving partners real-time visibility into admissions, discharges, referrals, and demographic trends — with data processing completing in approximately 30 minutes.

Quoted word for word from the source

Innovative Solutions gave us something no other organization in our space has — a real-time, secure platform where our partners can upload data and immediately see actionable insights. When I saw the predictive analytics for the first time, I was blown away. This isn’t just a data warehouse; it’s a demonstration of what’s possible when behavioral health organizations collaborate on technology.
Steve Harvey, CEO, Integrity Partners for Behavioral Health

Difficulties and limits

Sources

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