From Feasibility to Real-World Readiness

A New Layer in Primary Care

UIZ.CARE is an AI-enabled care-support platform designed to help young people express what is often difficult to verbalize, and to support General Practitioners in recognizing patterns earlier, structuring information, and delivering more focused care.

Rather than replacing clinicians, UIZ.CARE strengthens primary care by improving how signals are captured, interpreted, and followed over time.

  1. What We Have Proven

Through a structured pilot in primary care, UIZ.CARE has moved beyond concept stage into operational and regulatory readiness.

1.1 Measurable Efficiency Gains

UIZ.CARE reduces repetitive administrative workload for General Practitioners by 47%, freeing up time for more meaningful patient interaction.

1.2 Reliable System Performance

The platform demonstrates high technical reliability, including 98.7% success in wearable data synchronization, confirming its ability to integrate multiple data sources in real-world conditions.

1.3 Regulatory-Ready Data Infrastructure

UIZ.CARE generates traceable, auditable, and purpose-limited data, establishing the foundation required for future clinical evaluation and regulatory progression.

1.4 Usability at Adoption Threshold

The system meets accepted usability standards, confirming that it can be integrated into clinical workflows once adopted.

2. What We Learned

The pilot revealed a critical insight:

The main challenge is not technology—it is human interaction.

While the system performs reliably, sustained use depends on:

  • Ease of onboarding

  • Low interaction burden

  • Clear and immediate perceived value

Early-stage attrition and incomplete data highlight the importance of designing for real-world behavior, not just technical capability.

3. What This Means

UIZ.CARE should not be seen as a standalone app, but as:

An AI-enabled care-support layer embedded in primary care

Its value lies in:

  • Enabling earlier recognition of psychosocial and mental health signals

  • Structuring patient-generated data over time

  • Supporting more focused and informed clinical decision-making

  • Improving continuity between consultations

4. Where We Are Today

UIZ.CARE has successfully completed its feasibility phase and is now positioned to enter structured validation.

We have demonstrated:

  • A functioning and reliable system

  • A validated, audit-ready data pipeline

  • The ability to operate within a regulatory-aligned framework

5. What Comes Next

The next phase focuses on translating system capability into consistent real-world impact.

5.1 Improving Engagement

Reducing friction and increasing sustained participation across users.

5.2 Strengthening Data Quality

Ensuring completeness and continuity of multi-source data, including wearable inputs.

5.3 Validating High-Value Outcomes

Conducting focused studies to demonstrate clinical and economic relevance.

Our Perspective

We believe that the future of healthcare is not built on isolated AI tools, but on systems that integrate seamlessly into care delivery.

UIZ.CARE is built to:

  • Support clinicians, not replace them

  • Enhance signal visibility, not increase complexity

  • Make care more continuous, not fragmented

The UIZ.CARE Pilot Visual.png