Turning 300+ 🇪🇺grant-backed patient navigation cases into a predictive B2B SaaS for Value-Based Care. Seeking clinical pilots and research partners in the EU

CAE_predictive care | Linktree

MEDICATION NON-ADHERENCE REMAINS A MAJOR PUBLIC HEALTH CHALLENGE IN EUROPE.

• Costs European healthcare systems up to €125 billion annually and is associated with approximately 200,000 premature deaths each year.
• Despite advances in cancer treatment, real-world adherence and persistence remain suboptimal, reducing treatment effectiveness and outcomes.
• Evidence shows that treatment discontinuation is driven not only by side effects, but also by patients' beliefs, understanding, and cognitive factors, highlighting the need for personalized navigation and case management.

Read more in sources:

https://link.springer.com/article/10.1007/s11606-024-08851-2
https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2021.748702/full

Problem behind CAE

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💎 HIGHLIGHTS

CAE - COGNITIVE ADHERENCE ENGINE - PREDICTS SILENT PATIENT DROP-OUTS, PROTECTS MEDICAL BUDGETS, IMPROVES PATIENT CENTRED CARE

1. 📊 300+ Validated Patient Pathways at the core of our predictive methodology 

2. ⏳ 10-Day treatment Pre-Abandonment Warning based on longitudinal human case-management 

3. 🧠 Our Cognitive Gap Index (CGI) Quantifies the "Illusion of Understanding", the engine calculates hidden systemic barriers and risks of non-adherence by tracking communication, physical and mental wellbeing metrics.

4.🛡️Value-Based Healthcare (VBH) Alignment: Designed as an intelligent Clinical Decision Support Tool to protect medical budgets, optimize clinical workflows, and eliminate preventable patient drop-outs.

5. 🚀 Building the Future of Care: We are actively moving from a proven, grant-backed hybrid framework into a scalable B2B SaaS

📈 Quick facts

We are currently developing CAE (Cognitive Adherence Engine), an upcoming predictive AI-based B2B SaaS designed to transform patient navigation in oncology. Based on our unique, validated dataset of 300+ real longitudinal cancer patient pathways with zero silent drop-outs, we are building a solution that algorithmizes human case-management expertise into a scalable digital product. By tracking semantic shifts in patient communication, response latency, and calculating a unique Cognitive Gap Index (CGI), CAE is being designed to catch the "illusion of understanding" and system barriers, flagging non-adherence risks up to 10 days before therapy abandonment happens.

We are in the process of building this technology into an intelligent Decision Support Tool to help European oncology networks, clinics, and Value-Based Healthcare (VBH) insurers eliminate preventable patient drop-outs, protect medical budgets, and reduce clinical burnout. 

🔖 What is CAE?

Connect with us

Case Management and Digital Navigation to Empower Belarusian Cancer Patients

Coimbra Presentation Deck

Use of a Digital Platform to Enhance Shared Decision-Making in Cancer Patients

ESMO 2025 poster deck

CAE_predictive care

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CAE_predictive care

Turning 300+ 🇪🇺grant-backed patient navigation cases into a predictive B2B SaaS for Value-Based Care. Seeking clinical pilots and research partners in the EU

💎 HIGHLIGHTS

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