How Qualified Health Uses Claude to Screen Millions for Life-Saving Treatments
Qualified Health uses Claude to screen populations of 1M+ patients at institutions like the University of Texas Medical Branch, identifying candidates for evidence-based interventions in minutes instead of days of manual chart review.
Impact
1M+
Patient population screened
4–6 million/year
Unidentified qualifying patients in Texas
Minutes vs. extensive manual work
Chart review time
Challenge
4-6 million patients per year in Texas alone qualify for life-saving interventions but go unidentified due to the impossibility of manual chart review at scale.
Solution
Built a Claude-powered platform that screens populations of 1M+ patients, completing chart reviews in minutes and routing eligible patients into clinician workflows with documentation.
Tools & Technologies
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Full Story
In Texas alone, 4-6 million patients per year qualify for evidence-based medical interventions but go completely unidentified. These are patients who could benefit from medication optimisation, therapeutic interventions, or specialist referrals—but without systematic screening, they simply fall through the cracks.
Qualified Health was built to solve this problem. The company's AI platform identifies patients qualifying for life-saving treatments by analysing patient populations at scale and routing eligible patients directly into clinician workflows with supporting documentation.
Claude powers the chart review engine. What previously required extensive manual abstraction by clinical staff now completes in minutes. At the University of Texas Medical Branch, Qualified Health screens a population of over one million patients, identifying candidates for intervention across cardiology and beyond.
The platform is scaling rapidly. By end of 2026, Qualified Health plans to expand from cardiology into primary care, vascular, GI, rheumatology, and neurology—multiplying the patient populations served and the interventions identified.