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Clinic Resource & Supply Management with AI Demand Forecasting

Real-time tracking of equipment, consumables, beds and patient capacity across a multi-site clinic group. AI forecasts supply needs from EMR patient data. Lean Inventory for clinical consumables — right stock, right time, no waste. 


The client operated a multi-site clinic group. Each site managed its own consumables, equipment and bed occupancy independently — in spreadsheets, manual counts and monthly orders based on intuition rather than data. The result was simultaneous overstocking of some items and critical shortages of others.



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The challenge

Clinical operations were
running on spreadsheets and guesswork

The clinical team had no real-time visibility into what was available where. Equipment was sitting idle at one site while another was borrowing from a third. Consumable orders were placed based on the previous month's usage with a manual buffer — which meant stocks didn't reflect the actual patient mix coming through the door. High-acuity weeks would hit the clinic with inadequate supplies; low-acuity weeks left expensive consumables unused until they expired.
The brief

Build a real-time resource and supply management platform for clinical operations — equipment tracking, consumable inventory with AI-driven demand forecasting based on patient census and diagnosis data from the EMR. Lean Inventory for clinical consumables. No medication management in scope.

The solution

AI forecasting from
patient data, not last month's orders

The key architectural decision: connect the supply forecasting engine to the EMR. Patient census, admission diagnoses and planned procedures are the most accurate predictor of consumable needs — better than any backwards-looking order history.
🛏️
Real-Time Bed &Capacity Tracking
Live occupancy dashboard per ward, per site and across all sites. Admission and discharge updates from EMR integration. Forecasted occupancy for the next 7 days based on planned admissions and historical patterns.
Live occupancy · EMR integration · 7-day forecast
🤖
AI Demand Forecasting
ML model reads patient census, admission diagnoses and procedure schedules from the EMR. Maps diagnoses and procedures to expected consumable types and quantities. Generates a rolling 14-day supply forecast per item per site — adjusted daily as the patient mix changes.
ML · EMR-driven · 14-day rolling forecast
📦
Consumable Inventory Management
Real-time stock levels per item per location (ward, storeroom, procedure room). Barcode-based consumption recording. Lean Inventory: dynamic reorder points calculated from the AI forecast, not from fixed par levels. Expiry date tracking with waste alerts.
Real-time stock · Dynamic reorder · Expiry tracking
🔧
Equipment Asset Management
Full inventory of clinical equipment across all sites — monitors, infusion pumps, surgical instruments, diagnostic devices. Status tracking (available, in use, maintenance, decommissioned). Utilisation reporting identifies idle assets available for redeployment.
Asset registry · Status tracking · Utilisation
🔗
EMR Integration
Reads patient census, diagnoses and procedure schedules via HL7 FHIR R4. Bi-directional: supply system can write consumption data back to the patient record for clinical costing. Integrates with Epic, Oracle Health (Cerner) and MEDITECH.
HL7 FHIR R4 · Epic · Oracle Health · MEDITECH
📊
Operations Dashboard &Reporting
Site manager and group-level dashboards. Consumption vs forecast variance. Waste and expiry reporting. Cost per patient day per consumable category. Inter-site transfer recommendations when one site has surplus and another has risk.
Cost analytics · Variance · Inter-site transfers
Outcomes

Less waste,
zero critical shortages

Results measured 12 months post go-live across all sites.
–28%
consumables expenditure through waste and over-order reduction
0
critical consumable shortages in 12 months post go-live
–35%
expired consumable write-offs vs previous year
Real-time
bed and equipment visibility across all sites
Technology

Stack &architecture

GDPR-compliant, EU data residency. All clinical data access through FHIR — no direct database access to EMR.
Frontend
React + TypeScript
Dashboards for ward staff, site managers and group operations
Backend
Python / FastAPI
Inventory engine, forecasting model serving, EMR sync
AI / ML
XGBoost + custom rules
Diagnosis-to-consumable mapping, demand forecasting
EMR Integration
HL7 FHIR R4
Epic, Oracle Health (Cerner), MEDITECH
Barcode
Mobile scan / fixed reader
Ward-level consumption recording
Infrastructure
AWS
HIPAA, GDPR-compliant, encrypted at rest and in transit
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Managing clinical operations across multiple sites?

We build resource and supply management systems for clinic groups, hospital networks and healthcare operators