Integrity Partners for Behavioral Health · Innovative Solutions
10 — Partner organizations onboarded
Vendor-reportedHealthcare · Forecasting · Classical ML · In production
Forecasting
Preverity · Innovative Solutions
Vendor-reportedHealthcareIn 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. 1 of 1 figures below appear on that page word for word.
The problem
Legacy data infrastructure created barriers to scale, efficiency, and compliance. Processing billions of healthcare transactions was slow, resource-intensive, and required significant manual intervention.
What was deployed
- Vendor
- Innovative Solutions
- Products
- Amazon SageMaker, Redshift, CloudFormation, CloudWatch, KMS, Security Hub, S3, AWS Identity Center, AWS Transfer Family
- Technique
- Classical ML
- Build or buy
- Bought and customised
- Deployment
- Custom build
- Data used
- massive nationwide datasets, including billions of medical transactions and physician malpractice history; pharmaceutical claims and patient safety data
- Scale
- billions of healthcare transactions
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.
reduced by over 60%IT operational burden
“reducing IT operational burden by over 60%”
Quoted word for word from the source · round percentage, no baseline given
hoursanalysis time for complex workloadsfrom days
“reducing analysis time from days to hours for complex workloads”
Quoted word for word from the source
“Innovative Solutions has transformed how we deliver healthcare analytics. The SageMaker implementation enables our data scientists to build sophisticated machine learning models on billions of transactions without infrastructure constraints, and the optimized pipelines deliver insights to our clients faster than ever before. Most importantly, the systematic knowledge transfer has built internal expertise that ensures we can continue innovating independently. This partnership has been instrumental in our growth.”
Difficulties and limits
- Manual, Resource-Intensive Processing: legacy infrastructure couldn't scale to meet growing data volumes without adding costly headcount
- Slow Time-to-Insight: legacy data processing pipelines were slow and inefficient, preventing timely insights to healthcare clients
- High Operational Overhead: maintaining complex legacy infrastructure consumed significant IT resources, diverting technical staff from innovation
- Compliance and Security Complexity: implementing enterprise-grade security controls independently would have been cost-prohibitive for a growing company
- Limited Scalability: the existing architecture couldn't scale compute resources dynamically, forcing over-provisioning or performance degradation
Sources
- innovativesol.com — vendor self-report
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