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Solution 02

Genomics × EHR × outcomes integration

Connect biomarkers, treatment pathways, and outcomes at the patient level

We connect cancer genomic testing, genetic alterations and biomarkers, lines of therapy, response, and adverse events at the patient level, creating data for analysis of biomarker-defined populations and treatment patterns.

Genomics × EHR × outcomes integration — Data connection architecture Biomarkers Patient-level treatment course Outcomes A B C D E Positive Negative Unknown 1st line 2nd line Response Adverse events Outcomes Connected as one patient

Problems we solve

  • Genomic information and treatment histories are managed separately and cannot easily be analyzed as a single patient timeline.
  • Treatment patterns and outcomes by biomarker have not been organized on a consistent basis.
  • Japanese patient populations are difficult to present in a form global and research teams can use for early discussions.

What we can do

  • Design fields that connect genomics and EHR on a common patient-level timeline
  • Aggregate patient characteristics, treatment, and outcomes by biomarker and line of therapy
  • Prepare Japanese and English data summaries with analysis definitions and assumptions

Use cases and decision support

  1. 01 Explore treatment patterns and unmet needs by biomarker
  2. 02 Define target cohorts and endpoints for joint research or RWE analysis
  3. 03 Share a usable view of Japanese patient populations with global and research 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.