Optimizing Trial Recruitment: Segmenting HCP Targeting

CASE BACKGROUND

 

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Situation

  • Client is focused on the discovery and development of precision medicines for difficult-to-treat cancers
  • The target disease is rare. About 8,000 people in the United States are diagnosed with it each year

 

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Challenges

  • Identifying HCPs and treatment centers with potential patients for clinical trials is a lengthy process
  • Client sought to explore approaches to leverage real-world data to improve and accelerate the clinical trial recruitment process

 

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Key Business questions

  • What is the size of the target clinical trial patient pool
  • Where are those patients located
  • Which Clinicians are treating target patients?
  • How do we prioritize Clinicians to contact for clinical trial participation?

APPROACH

 

ANALYZE

Identified & Segmented Potential Patients:

  • With client input, collaboratively define the appropriate patient inclusion and exclusion criteria using the clinical trial protocol as a basis to create the patient cohort
  • Iterative data analysis to identify and segment patients who meet clinical trial criteria

 

Assess

Connected Clinicians to Anonymized Patients:

  • Map patients back to Clinicians who were treating or referring them with “specific” diagnoses

Segmented and Mapped Clinicians:

  • Map connections between those treaters and current client trialists based on patients in common

 

Action

Assessed Clinicians Based on Connections to Current Trialists and Patients in Common:

  • Number of qualifying patients
  • Number of qualifying patients shared with client investigators
  • Recency and frequency of qualifying patient visits
  • HCP specialty
  • Proximity to existing client sites for company outreach

OUTCOME

Pharmaceutical Clinical Trial Profiling Represented as a Magnifying Glass

 

Identified High Potential Clinical Trialists

  • Found over 200 Clinicians with patients meeting clinical trial protocol criteria

Patient Treatment Icon

 

Prioritized Recruitment of Target Patients

  • Mapped patients back to Clinicians who were treating or referring them with “specific” diagnoses
  • Mapped connections between those treaters and current client trialists based on patients in common

Key Opinion Leader Identificaton, Profiling, Mapping, and Management

 

Accelerated the Clinical Trial Recruitment Process

Prioritized potential new investigators for engagement based on:

  • Number of qualifying patients
  • Number of qualifying patients shared with
    client investigators
  • Recency and frequency of qualifying patient visits
  • HCP specialty
  • Proximity to current trial sites for company outreach
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