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Solution 03

Healthcare data analytics for pharma

Decision support for clinical development, medical affairs, and marketing

We use EHR, biomarkers, claims, and DPC data according to the objective and organize evidence for candidate search, trial feasibility, RWE generation, and market and treatment-pattern analysis.

Healthcare data analytics for pharma — Data connection architecture Patient-level data Aggregate data EHR · biomarkers Claims · DPC Designed for the question Clinical development Candidates · feasibility Medical affairs RWE · treatment patterns Marketing Market · patient journey

Problems we solve

  • Clinical development, medical affairs, and marketing use separate data and definitions.
  • Market size and prescribing trends may be visible while detailed patient profiles and in-hospital candidates remain unclear.
  • It is difficult to determine whether claims, EHR, or biomarker data best fit the objective.

What we can do

  • Analyze market size, prescribing trends, lines of therapy, and patient journeys using claims and DPC data
  • Use EHR and biomarkers for candidate search and trial feasibility
  • Design RWE datasets and analysis plans using treatment histories and outcomes

Use cases and decision support

  1. 01 Assess candidate scale, patient profiles, and site conditions for trial feasibility
  2. 02 Analyze markets, treatment patterns, and patient journeys for marketing planning
  3. 03 Build a shared view of diseases and patients across medical, R&D, and marketing teams

CLINIAL strengths behind this solution

Select the data for the question

From EHR, biomarkers, claims, and DPC, we select the data and level of detail that fit clinical development, medical affairs, or marketing questions.

Search criteria designed by physicians

Medical oncologists map research criteria to clinical data fields and procedures that can be reviewed within the institution.

An in-hospital pathway back to patients

With patient consent and institutional approval, we build workflows from candidate identification to neutral physician notification.

Criteria and data that stay current

New approvals, trial launches, and revised search criteria are updated in the cloud and rematched to clinical data according to each integration.

Data fields, integration methods, update schedules, and operating environments are designed for each project based on source systems, intended use, and contractual requirements.