Large healthcare services company Identifying risk patterns earlier with AI assisted preventive care
Iviju worked with Large healthcare services company to improve AI risk detection for preventive care through AI and ML development and data engineering, giving the team a stronger foundation for future gains
85,000
drug seeking patients identified
$60 million
targeted organizational savings for this healthcare provider
- Company Large healthcare services company
- Industry Healthcare
- Location United States
- Engagement AI risk detection for preventive care
What needed to change
Large healthcare services company had clear business goals, but the current environment made execution harder than it needed to be. Addiction related behaviors were driving poor outcomes and high treatment cost, but signals were buried across physician notes and clinical records
That meant focusing on business value first, with the right mix of consulting, implementation, and support behind it
How Iviju delivered
We brought together AI and ML development and data engineering to create a solution that matched the client’s workflows and business priorities. We linked text analytics on physician notes with structured healthcare data to identify recurring risk patterns and help caregivers prioritize early intervention
We aligned the solution to business priorities, handled the integration work, and kept the focus on usability, performance, and long term flexibility
Implementation specifics
We linked text analytics on physician notes with structured healthcare data to identify recurring risk patterns and help caregivers prioritize early intervention
What changed after delivery
The solution improved visibility into at risk populations and gave clinical teams better information for preventive care decisions It also created a more dependable foundation for continued improvement across the United States
The results showed up in measurable ways, including 85,000 drug seeking patients identified and $60 million targeted organizational savings for this healthcare provider
- 85,000 at risk patients identified
- Earlier visibility into drug seeking patterns
- Supports better allocation of care resources
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