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Privacy-preserving tokens connect each mutation carrier’s genetic result with longitudinal claims and lab history.
Case study · AI patient finding · Clinical trials
A rare disease biotech needed to see which identified mutation carriers showed signs of symptomatic progression—and which physicians were treating them.
From genotype to clinical context
Start with identified mutation carriers.
Evaluate patterns of active disease progression.
Connect the patient finding with a provider.
Connected genetic findings, longitudinal clinical signals, and provider attribution helped the sponsor move toward a site-ready recruitment list.
The challenge
Genetic testing had already identified mutation carriers. The sponsor needed to distinguish carriers with signs of symptomatic disease, the trial’s eligibility trigger, and understand which physicians were treating them.
The required clinical context sat across genetic results, longitudinal lab data, and claims history.
The approach
The workflow linked the known genetic finding with clinical signals over time, then added treating-provider attribution.
Privacy-preserving tokens connect each mutation carrier’s genetic result with longitudinal claims and lab history.
AI phenotyping reviews lab and claims signals over time to flag carriers showing active disease progression.
Provider attribution maps identified patients to treating specialists, supporting site outreach and recruitment planning.
The reported outcome
Approximately 98% of identified patients mapped to their treating physician in the reported example.
The resulting targeted recruitment list gave the sponsor patient and provider connections for site outreach.
A genetic result becomes more useful for recruitment planning when it can be evaluated alongside the patient’s clinical history and treating-provider context.
Of patients identified through the described workflow
Where else this approach may apply
The source identifies these as potential applications of the approach, rather than additional reported client outcomes.
What the case illustrates
This example combines a known genotype with the clinical and provider context needed to support recruitment planning.
Use longitudinal signals to move beyond mutation-carrier status when the program requires evidence of symptomatic disease.
Add treating-provider attribution so the identified population can support a targeted site-outreach workflow.
Explore patient finding
Talk with Prognos about your indication, available genetic findings, and the clinical signals your program needs.
Explore how connected lab, claims, and provider context could support your patient-finding program.