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HIPAA Connected Data Platform Module
A tested starting point for hipaa connected data platform module reduced repeated setup work.
We built a practical HealthTech solution combining connected health-record data collection, bayesian demand forecasting, and AI-powered procurement safety controls. The project delivered 18% Waste Reduction and 22% Fill Rate Lift.
Trusted by teams building ambitious products
Multi-specialty hospital pharmacy network managing high-cost, short-shelf-life biologicals and oncology meds.
ML Architect + Data Engineers + HIPAA Compliance Lead embedded within Pharmacy Operations.
Transitioning from static Min/Max replenishment to AI-powered, patient-volume-aware forecasting.
A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.
The client’s inventory logic relied on older averaging models that failed to account for shifts in seasonal patient volume and localized disease outbreaks. This Min/Max trap led to consistent overstocking of high-cost biologicals, resulting in $12M of annual waste due to drug expiration.
The biggest issues were inventory decay, procurement lag, and compliance burden. The team needed a faster, clearer way to manage the work while keeping the right checks in place.
Fixed triggers ignored live procedure schedules and drug expiration windows.
AI-powered triggers based on localized consumption speed and clinical timelines.
Risky CSV exports for analysis often contained non-scrubbed identifiers.
De-identified streaming data ensures HIPAA compliance at the edge.
Excess stock identified only once drugs reached within 30 days of expiration.
ML identifies high-decay risk early, triggering cross-facility stock rebalancing.
Custom scoring logic that weights shelf-life volatility against clinical criticality to prevent life-saving drug stockouts.
Secure Removal of unnecessary patient data layer ensures that forecasting models only see anonymized clinical trends, never patient identities.
The platform identifies surplus in oncology centers and auto-reroutes orders to community clinics before expiration windows close.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for hipaa connected data platform module reduced repeated setup work.
Reusable work for pharma inventory module let the team focus more time on the client’s specific needs.
This made it easier to add supply chain monitoring without rebuilding common foundations.
A tested starting point for procurement safety controls reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
AI-powered forecasting matched stock levels to procedure volumes, eliminating the overstock-to-disposal cycle.
Improved fill rates for life-saving meds by prioritizing critical procedures in the replenishment queue.
Secure and traceable logs of every procurement decision, mapped back to procedure-demand forecasts.
Coretus didn't just build a forecasting tool, they built an AI-powered supply platform that bridged our EHR data with real-world logistics. We suppressed drug waste immediately, saving millions while improving critical care readiness.