CareFlow: Predicting Patient Deterioration with AI
Hospitals and care facilities struggle with avoidable deteriorations that lead to emergency admissions. CareFlow leverages AI to analyse real-time patient data and predict early signs of deterioration, allowing care teams to intervene proactively. By integrating with existing hospital and remote monitoring systems, it improves patient outcomes while reducing strain on healthcare resources.
THEME
Health + Life Sciences
The Problem
Delayed responses to patient deterioration lead to preventable hospital admissions, longer stays, and higher healthcare costs. With overburdened staff and fragmented data systems, early warning signs are often missed.
The Solution
CareFlow uses real-time patient monitoring and AI-driven predictive analytics to detect early signs of deterioration. By integrating with hospital EHR systems and remote wearables, it ensures proactive intervention, reducing critical events and improving patient safety.
Market Opportunity
The global AI healthcare market is projected to hit £50 billion by 2028, with increasing demand for predictive health solutions. CareFlow aligns with NHS digital transformation priorities, making it a high-impact, scalable opportunity.
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