Timing that supported the decision window
The client described treatment decisions occurring within five days of lab results and reported losing 60% of potential opportunities within a week without daily alerts.
Case study · Oncology · NSCLC
From lab result
to timely HCP action.
How a leading biopharmaceutical company used clean lab data, frequent alerts, and treating-oncologist enrichment to support its oncology field teams.
Daily alertsTreating-oncologist contextField execution
ClientA leading biopharmaceutical company
Therapeutic areaNSCLC-led oncology programs, including ROS1+ and PD-L1-negative populations
ProgramLab-based HCP alerts
70–85%Reported ROS1+ alert execution within two days
DailyAlerts for critical programs such as ROS1+ NSCLC
WeeklyClient tracking of alert execution and field alignment
“Beautifully clean.”Client feedback on Prognos data
Published oncology case study
The challenge
A short window.
Several gaps to close.
The client needed to identify relevant patient signals quickly and connect them with the oncologists positioned to act.
Coverage gaps across the care landscape
Despite using multiple vendors, the client estimated capturing 45–50% of its relevant U.S. population, with blind spots in academic and community hospitals.
The provider on the record was not enough
Alerts often pointed to pathologists or pulmonologists rather than treating oncologists. The client reported 40% of prior PD-L1-negative alerts were unusable because of this gap.
An investment that had to earn funding
The client faced budget constraints and C-level scrutiny. A 5× ROI was the funding hurdle it sought to meet.
The Prognos solution
Improve the signal.
Connect the provider.
Support the workflow.
The program combined timely delivery, harmonized lab data, and provider enrichment to address the client’s operational needs.
Frequent delivery
Daily alerts supported priority programs such as ROS1+ NSCLC, with twice-weekly options for some lower-volume alerts.
Clean, normalized data
Prognos aggregated and standardized lab data to reduce the client’s internal cleaning burden and support CRM ingestion.
Treating-oncologist enrichment
Provider mapping addressed the gap between providers listed on lab records and the oncologists involved in patient care.
Connected lab and claims context
Available claims enrichment supported HCP identification and the evaluation of gaps across the care landscape.
Why provider context mattered
An alert needs more
than a name on a test.
The client’s experience highlighted the difference between receiving a lab record and identifying a relevant treating HCP.
Provider on the lab record
A pathologist or pulmonologist could be associated with the result, leaving the field team without a relevant treating-oncologist contact.
Treating-oncologist visibility
Connect patient signals with provider context to help the team evaluate the oncologists to engage.
Clinical meaning, harmonization, and enrichment made the data more usable.
Provider relevance and ingestion quality were central to the client’s ability to put the alerts into its field workflow.
The impact
Timely delivery.
Strong field execution.
The client reported strong execution of ROS1+ alerts within two days, supported by internal alignment and regular tracking.
Reported ROS1+ alert execution
70–85%Executed within two days
0%50%100%
Less internal cleaning before use
The client praised the cleanliness and quality of Prognos data, supporting faster ingestion and CRM availability.
A stronger path to HCP engagement
Treating-oncologist enrichment addressed a key reason alerts had previously been difficult to act on, particularly in the PD-L1-negative program.
Observed commercial value
The client reported positive ROI feedback and differences in prescribing behavior between alerts that were executed and those that were not.
A partnership the client wanted to continue
The client valued Prognos’s lab-data aggregation and responsiveness and wanted continued collaboration, including feedback into the product roadmap.
The field process mattered too. The client linked alert use to rep objectives and reviewed execution weekly, helping turn incoming data into operational follow-through.
Explore the approach
Build around the clinical signal
and the HCP workflow.
Bring your biomarker, patient criteria, and intended field use. Prognos can help evaluate the data, provider context, and delivery approach.
Make the next clinical signal
more useful to your team.
Talk with Prognos about lab-based oncology alerts, provider enrichment, and delivery designed around your workflow.