8-Hospital Academic Medical Center
Houston Methodist
Intelligent triage deployed across an 8-hospital academic medical center — using AI-driven risk stratification to prioritize follow-up scheduling, target high-risk service lines, and reduce readmissions at scale.
The Challenge
Healthcare resource allocation is often closer to random than risk-based. National data shows that 14-day follow-up rates vary only marginally between the lowest-risk patients (43%) and the highest-risk patients (51%) — meaning high-risk patients don’t receive disproportionate clinical attention, leading to preventable adverse events.
Houston Methodist needed to shift from intuition-based to evidence-based resource allocation — ensuring that the sickest patients get seen first, without adding workflow burden to already-stretched clinical teams.
The Approach
7-Day Follow-Up Scheduling
HealthVision's EHR-embedded daily lists prioritize the highest-risk patients for post-discharge follow-up appointments within 7 days.
Service Line Targeting
Focused efforts on specific floors and service lines — cardiovascular, surgical — where risk-targeted interventions have the greatest impact.
Heart Failure Registry
Efficiently identify and enroll appropriate patients in the heart failure registry using predictive risk scores rather than manual chart review.
Falls Prevention
Proactive identification of inpatients at elevated risk of fall injuries, enabling preventive protocols before events occur.
The Results
Houston Methodist’s readmission rate dropped from 18.1% to 16.2% while acuity remained flat — climbing to #1 among 114 academic medical centers in readmission improvement based on actual-to-expected rates.
See Intelligent Triage in Action
Learn how risk-based resource allocation can transform outcomes at your health system.
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