Hospitals and clinics are investing in AI-powered monitoring solutions, yet these tools are often siloed by department, provider, or institution—leaving critical gaps in data continuity, shared alerts, and actionable insights.

Patients shuttle between systems and caregivers, with nobody holding a comprehensive, real-time view.

This fragmented approach undercuts the promise of AI to deliver smarter, preventive care and burdens providers with disconnected information, ultimately risking patient safety.

The root challenge is the lack of seamless interoperability and standardized protocols across healthcare providers, digital health platforms, and AI monitoring tools.

Regulatory complexities, data privacy concerns, and absent unified incentives further slow down the integration required for holistic oversight.