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Prognos Commercial Analytics

Better questions.
Stronger clinical context.

Bring lab results into your commercial analysis. Connect clinically meaningful signals with patient journeys and provider context to inform segmentation, launch planning, and brand strategy.

Explore your analytics question
Cohort definitionPatient journeysProvider analysis
Lab signalsPatient contextProvider contextYour questionLinked activityPROGNOSHarmonization+ enrichmentClinical meaning, connected
“I must say that I am impressed with the cleanliness of the data”
Top 10 Pharma
Commercial Analytics Director

The clinical dimension

Go deeper than
what happened.

Claims can reveal diagnoses, prescriptions, and encounters. Lab results add clinical detail that can help teams explore the patterns behind that activity.

01 / PATIENTS

Define a more relevant population.

Use tests, results, and available clinical attributes alongside appropriate linked data to sharpen cohort definitions.

02 / PROVIDERS

Understand the HCP context.

Evaluate testing patterns, observed patient profiles, and available Care Team context to support provider analysis.

03 / STRATEGY

Test your assumptions.

Explore evidence behind audience hypotheses and patient-journey patterns before translating findings into commercial plans.

Start with a decision

An analytics question.
A clinically informed answer.

Explore the questions lab data can help your commercial analytics team investigate.

Cohort definition

Who is represented in the population?

Define a cohort around the clinical criteria relevant to your question, then evaluate the available history and linked activity.

Analysis inputs & outputs
  • Program-defined lab and result criteria
  • Available clinical and demographic characteristics
  • Patient-level de-duplication across linked sources

The Prognos foundation

The work behind
usable analytics.

Harmonization and enrichment turn fragmented lab records into a more consistent foundation for analysis.

Connect

Bring together relevant lab results and permitted linked data.

Harmonize

Standardize formats, terminology, and results across participating sources.

Enrich

Add clinical interpretation and available patient and provider context.

Apply

Build cohorts, explore patterns, and inform the decisions your team needs to make.

Published oncology launch case study

From launch hypotheses
to a stronger evidence base.

A pharmaceutical company used integrated lab and claims analysis to refine patient profiles and HCP segmentation for a multiple myeloma launch. The work continued after launch with recurring data to support commercial execution.

Read the full case study
With Prognos9months

To achieve the reported insights and learnings.

Client estimate alone12–18months

Estimated time to reach those learnings independently.

Build around your team

Use the data.
Develop the analysis.
Connect the workflow.

Align the question, data scope, and delivery approach with the work your team needs to do.

DATA FOR YOUR TEAM

An analytics-ready foundation.

Bring harmonized and enriched lab data into your internal analytics workflows, with historical and recurring delivery options.

ANALYTICS SUPPORT

A question-led engagement.

Work with Prognos on cohort definition, patient and provider analysis, and interpretation of program-specific findings.

PROGNOS FUSION

Connect licensed sources.

Bring eligible existing licensed sources together in a harmonized, enriched feed through Fusion.

Where permitted and supported, Datavant tokenization can connect lab data with other assets. Existing licenses, linkage permissions, and source participation shape the final design.

Looking across therapeutic areas?

Explore Prognos Broad.

Lab-data applications across common conditions such as asthma and diabetes, with clinical detail for the question at hand.

Explore Broad

Ready to inform engagement?

Connect insight to the next step.

Explore Precision Marketing for lab-informed HCP engagement, or Care Team for additional provider visibility.

Explore Precision Marketing

A closer look

Your analytics questions, answered.

How is Commercial Analytics different from Broad?

Commercial Analytics is organized around the work: cohort definition, patient journeys, provider analysis, and commercial planning. Broad is organized around lab-data applications across common conditions and therapeutic areas. The two can work together.

Can Prognos work with data we already license?

Eligible existing licensed data can be incorporated within an agreed program or through Fusion. Source participation, permissions, tokenization, and linkage requirements are reviewed together.

How can data be delivered?

Historical extracts and recurring delivery can be aligned with the analytics workflow. Cadence, format, history, and enrichment are defined around source availability and the agreed scope.

What does your team
need to understand next?

Bring your analytics question, population of interest, and available data. We’ll help define a useful starting point.

Talk about analytics
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