DXRX Signal
Reach the right physicians. Act at the right time.
DXRX Signal is the trigger between testing and treatment. Brands can lose critical market share when patients are missed and treating physicians are not engaged at the right moment. Drawing from near real-time data, clinically relevant events are flagged within hours. Without early visibility into the patient journey, pharma teams are left guessing and therapy patient access stalls.
Real-time signals. Real commercial impact.
Source: Data insights sourced from Diaceutics’ client projects.
Speed and precision
•Real-time alerts from over 500 labs across the U.S.
•Data within hours, no lag, enables timely intervention
•Data statistically verified to ensure accuracy and precision
AI multi-modal clinical data
•Combines lab, genomic, claims, specialty pharmacy, EHR, and SDOH
•Enables accurate, scalable identification of patients and treating physicians
•Outperforms traditional targeting & static patient models
Proven commercial value
•$350 ROI per $1 spent
•Used by leading pharma brands across many therapy areas including oncology, rare disease, and hematology.
The trigger between testing and treatment
DXRX Signal increases potential therapy eligibility for patients within hours of a diagnostic event, enabling teams to act while treatment decisions are still pending. Timing is everything, and early diagnostic insight makes the difference between a missed opportunity and a patient on the right therapy.
See how real-time diagnostic data identifies eligible patients within hours, enabling targeted, timely HCP engagement.
DXRX Signal enables your team to:
•Drive therapy uptake by engaging physicians and HCPs within 24 hours of the critical treatment decision window
•Accelerate adoption by delivering timely, data-backed insights to HCPs at the point of decision.
•Scale efficiently with real-time, compliant outreach without the resource burden of traditional field models.
•Deliver commercial impact with proven increases in therapy starts, care targets, and brand share.
From noise to clarity with DXRX Signal
Unlike traditional commercialization models that rely on templated strategies and expansive field teams, our agile approach leverages real-time data to zero in on high-impact activities and dynamically realign tactics for optimal results.
Unlock deeper insights with DXRX Signal
"The more you reduce the gap, it's truly patient centric."
Expert Gunjan Aggarwal discusses how in complex therapeutic areas like oncology and rare diseases, data gaps can delay diagnosis and hinder care. DXRX Signal helps close those gaps by delivering the depth, breadth, and clarity needed to map the full patient journey.
With DXRX Signal, you can identify unmet needs faster, uncover actionable insights, and drive better outcomes.
Turning patient identification into commercial acceleration with DXRX Signal
Source: Data insights sourced from Diaceutics’ client projects.
Identifying 6 eligible patients could unlock $1.05 million in potential revenue at a therapy cost of $175,000 per patient.
$350 ROI per $1 spent
A top 10 pharma in precision oncology saw a 35.6% increase in new starts over 6 months by replacing traditional call planning with DXRX Signal-driven engagement.
Resources
Discover more about DXRX Signal by clicking into the resources below:
Webinar
Transforming physician identification with real-time data
Discover how DXRX Signal uses real-time lab triggers and multi-modal data to identify physicians at the right moment. Learn why speed-to-signal is critical for precision medicine success. Watch now to see how real-time insights can reshape your commercial strategy.
Case Study
Accelerate HCP engagement in AML through real-time diagnosis signals
Learn how a top 10 global pharma company tackled delays in AML patient identification. See how real-time lab alerts and proprietary rules accelerated outreach, boosted therapy adoption, and unlocked revenue potential.
News
Smarter physician activation starts here
In today’s pharma landscape, timing isn’t just everything, it’s the edge. Traditional models are breaking under tighter budgets and restricted access. The future? Real-time, data-driven engagement that activates the right physician at the moment of relevance.