MedInventory provides a cloud‑native SaaS platform that uses machine‑learning time‑series models to forecast medical supply usage and automatically generate optimal purchase orders. The solution integrates with EHR systems via FHIR/HL7 APIs to capture real‑time consumption data and offers dashboards that track waste, fill‑rate, and cash‑to‑stock metrics for hospital supply chains.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often struggle with manual inventory tracking, leading to stockouts of critical supplies or excess stock that expires, both of which increase operational costs and compromise patient care. Integrating inventory data with existing electronic health record (EHR) systems is typically cumbersome, limiting visibility into real‑time demand signals.
Solution
MedInventory delivers a cloud‑native platform that applies machine‑learning time‑series models to predict product usage across multiple care sites. The system automatically calculates optimal reorder points and safety stock levels, generating purchase orders that align with contractual pricing and vendor lead times. Seamless integration with EHRs via FHIR/HL7 APIs ensures that consumption data flows directly into clinical workflows, providing clinicians and supply managers with a unified view of demand. Real‑time dashboards surface key performance indicators such as waste rate, fill‑rate, and cash‑to‑stock ratios, enabling data‑driven adjustments to procurement strategies. The solution is offered under a subscription SaaS model, eliminating upfront capital expense and delivering continuous updates without disrupting operations.
Target Audience
Primary customers are hospital supply chain departments, ambulatory surgery centers, and large clinic networks that need automated, data‑driven inventory control integrated with their EHR systems.
Features
- Predictive demand engine built on ensemble ML models (ARIMA, Prophet, gradient boosting) that updates forecasts hourly based on usage, seasonality, and case‑mix changes
- Automated inventory optimization module that computes dynamic reorder points, safety stock, and order quantities per SKU
- Bi‑directional EHR integration using FHIR resources (MedicationRequest, SupplyDelivery) for real‑time consumption capture and order status syncing
- Web‑based analytics dashboard with drill‑down KPI visualizations, variance analysis, and customizable alerts for expiration or low‑stock events
- Auto‑generation of electronic purchase orders (cXML/EDI) with vendor catalog mapping and contract‑price enforcement
- Role‑based access control, audit trails, and HIPAA‑compliant encryption for all data in transit and at rest
- Scalable micro‑services architecture deployed on a multi‑region cloud platform, supporting high‑availability and disaster‑recovery SLAs