Patient finding & HCP alerts
Apply agreed clinical criteria to incoming lab data and identify relevant observed patient signals. Add available provider context to help teams evaluate HCPs for engagement.
Prognos Broad
Across therapeutic areas—from established indications to highly specific, non-genomic patient populations—Prognos transforms lab results into a foundation for patient finding, HCP engagement, and evidence generation.
Explore your indicationObserved lab findings, interpreted in context.
From wider cohorts to highly specific patient profiles.
Alerts, longitudinal data, and evidence-oriented work.
Explore the clinical landscape
Broad brings clinical lab data into focus across therapeutic areas, including specialized and non-genomic rare-disease populations.
Illustrative applications
Use available lab results alongside diagnosis and treatment activity to explore a clinically defined respiratory population. Shape the cohort around the indication and the testing relevant to it.
Potential inputs & context
Designed around the work
Apply agreed clinical criteria to incoming lab data and identify relevant observed patient signals. Add available provider context to help teams evaluate HCPs for engagement.
Connect lab results with permitted linked activity to explore testing, diagnoses, and treatment events across the available history.
Bring clinically meaningful lab measures into appropriately designed studies, with historical data and relevant linkage scoped to the research question.
What Prognos adds
The value is in how the data is prepared and connected—not simply in accessing another feed.
Specificity at every scale
Start with the lab criteria that matter to your indication. Then align the sources, history, enrichment, and delivery with the work your team needs to do.
Work with Prognos to evaluate tests, results, and combinations of criteria that support the patient profile.
Use available history and permitted lab-plus-claims linkage. Care Team can add visibility beyond the provider listed on the lab record.
Choose historical data, recurring delivery, or prospective signals as supported by the sources and program design. Coordinate with your internal team and ecosystem partners.
Analysis around your question
Explore analytical support for cohorts, patient journeys, provider analysis, and commercial planning.
Explore Commercial Analytics →Already licensing data?
Bring eligible licensed sources into a harmonized and enriched feed, with available clinical and Care Team context.
Explore Fusion →A closer look
Yes. Broad includes non-genomic rare-disease applications alongside other therapeutic areas. Cohorts are defined by clinically relevant lab criteria and the intended use, rather than disease prevalence alone.
Programs can use lab data alone or incorporate permitted linked data. The right approach depends on the question, participating sources, licenses, and linkage requirements.
Broad describes the clinical lab-data offering and its applications across therapeutic areas. Commercial Analytics focuses on analytical work such as cohort definition, patient journeys, provider analysis, and launch planning. A program can combine both.
Unlocking the power of data to improve health
Bring your population of interest and the lab criteria that matter. Let’s explore the sources, context, and delivery that can support your next step.