How Qualified Health Uses Claude to Screen Millions for Life-Saving Treatments

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.