AI case study

Qualified HealthPatient identification for evidence-based care

Fragmented data made manual review impossible. Now, AI scans clinical notes to surface at-risk patients for life-saving intervention.

Published|3 months ago

Key results

Patients Flagged
~33%

Result highlights

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The story

Context

The University of Texas System is one of the largest public university networks in the United States, operating multiple health institutions that serve patients across a diverse geographic and socioeconomic landscape.

Challenge

Crucial patient data remains buried in fragmented, unstructured clinical notes and disconnected systems, making it impossible for overstretched...

Solution
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Quotes

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The company

Qualified Health logo

Qualified Health

qualifiedhealthai.com

Enterprise AI governance and deployment platform for health systems.

IndustryHealthcare Providers
LocationSan Francisco, CA, USA
Employees11-50
Founded2023

The vendor

Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.

IndustrySoftware & Platforms
Location2 Pennsylvania Plaza, 10121, York, New York, United States
Employees1K-5K
Founded2021

Use case

Qualified Health's Patient identification for evidence-based care is part of this use case:

Predictive Analytics
56 case studies(+80% YoY)
Proven impact?
LowModerateVery Strong
8.2Very strong
3.8Moderatewithin Product Engineering

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