Back to industries
Healthcare & Pharma
Oncology patient pathway optimization
Client · Private hospital group · 28 facilities
A decision-support and pathway-management tool reducing the delay between diagnosis and first treatment session from 18 to 11 days.
01
Challenge
- Diagnosis-to-treatment delays exceeding national recommendations, impacting care quality and patient experience.
- Fragmented patient pathway across specialties and information systems (HIS, RIS, PACS, EHR).
- No unified view of the pathway, making bottlenecks hard to identify.
- Strong regulatory sensitivity (HDS, health GDPR) and need for clinical explainability.
02
Solution
- Health data warehouse (HDS-certified) integrating EHR, OR schedules, anatomopathology reports (NLP extraction).
- Predictive model identifying upstream patients at risk of prolonged delay.
- Coordination app for oncology nurse coordinators with prioritized alerts.
- Steering dashboards by facility and cancer pathway.
03
Business impact
- Diagnosis → first session: 18 → 11 days (−39%) on pilot pathways (breast, lung, colorectal).
- +25% multidisciplinary meeting capacity at constant headcount.
- +14 pt patient satisfaction (PROM).
- Solution extended to 12 additional facilities in year 2.
Other industries
Banking
Real-time transaction fraud detection
Insurance
Health underwriting automation with GenAI
Retail
Local assortment personalization & dynamic pricing
Energy
Wind production forecasting & market arbitrage
Manufacturing
Predictive maintenance on F&B production lines
Logistics
Route optimization & demand forecasting
Let's identify where AI can create value in your business.
Book a 30-minute introductory call with a founder.