Solution 01
Oncology RWD platform for continuous updates
Connect patient-level data and track changes over time
We connect EHR, laboratory results, treatment histories, and outcomes at the patient level and update them on a schedule suited to the integration environment. Candidate cohorts and changing treatment patterns are organized for research and trial planning.
Problems we solve
- EHR, laboratory results, treatment histories, and outcomes are separated across departments and systems, making longitudinal patient journeys difficult to follow.
- Periodic manual summaries make it difficult to assess changing candidate cohorts and treatment patterns when plans are being developed.
- Data fields and preparation work are repeatedly redefined for each research or trial project.
What we can do
- Design a patient-level data model connecting EHR, laboratory, and treatment information
- Set update schedules for each integration and enable search and aggregation by disease, line of therapy, test result, and outcome
- Design research datasets and, when required, analysis environments that can include cloud infrastructure
Use cases and decision support
- 01 Assess the size and characteristics of eligible cohorts before a trial or joint research project
- 02 Track changes in lines of therapy and outcomes to refine hypotheses for RWE analysis
- 03 Standardize project-specific extraction and preparation so data is ready for the next decision
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.
