Clinical Case Study: Closing HEDIS Blood Pressure Management Gaps and Preventing Hypertensive Crises
Hippocratic AI demonstrated the potential of artificial intelligence (AI) in managing blood pressure and preventing hypertensive crises. The AI agent identified a 78-year-old woman with elevated blood pressure and escalated the case to a human triage nurse.
AI-Driven Outreach for Scalable and Proactive Care:
Hippocratic AI’s agents are revolutionizing patient outreach by enabling scalable, personalized communication to close care gaps and identify high-risk conditions.
These agents can collect key metrics like blood pressure, identify deviations, and escalate findings requiring immediate human intervention.
HEDIS and the Importance of Blood Pressure Management:
The Healthcare Effectiveness Data and Information Set (HEDIS) guidelines emphasize the necessity of controlled blood pressure levels.
The AI agent’s intervention helped to meet HEDIS performance benchmarks, reflecting the quality of care all patients should receive.
Improving Outcomes Through Increased Engagement:
Integrating AI into healthcare enhances the ability to monitor at-risk populations and close critical care gaps.
AI tools empower patients by maintaining regular communication and reinforcing health literacy.
This approach aligns with HEDIS performance measures and exemplifies how technology can improve cardiovascular outcomes while reducing preventable adverse events.
Want to hear the AI in action?
Read the full case study (including a de-identified clip of the actual call!) on the Hippocratic AI website.