For pharmaceutical companies
- Clinical development: candidate search and trial feasibility
- Medical affairs: patient profiles, treatment, outcomes, and RWE
- Marketing: market size, treatment patterns, and patient journeys
Solutions
Turn healthcare data into decision-ready information from clinical development to marketing.
We design and analyze healthcare data for the objective, including EHR, biomarker tests, claims, and DPC data. From candidate search, trial feasibility, and RWE generation to market and treatment-pattern analysis, we support pharmaceutical decisions and workflows within medical institutions.
- Candidate search
- Trial feasibility
- RWE generation
- Market and treatment analysis
Who we support
Support pharmaceutical decisions and workflows inside medical institutions.
For medical institutions
- Organize clinical information across departments and systems
- Identify candidates in-hospital using approved criteria
- Design physician-review and research-data workflows
What is different
Use aggregate analysis and in-hospital candidate search for the right purpose.
Typical de-identified data use CLINIAL
Patient connection
Typical de-identified data use Centered on aggregation and analysis, without returning to individual patients
CLINIAL Identify potential candidates within the institution under its governance
Data updates
Typical de-identified data use Analysis of delivered or periodic snapshots
CLINIAL Continuously update clinical data and search criteria for each integration
Scope
Typical de-identified data use Market assessment, treatment patterns, patient journeys, and research hypotheses
CLINIAL Aggregate analysis plus candidate search, feasibility, physician notification, and RWE generation
The permitted use of de-identified data varies by database, contract, and research protocol.
Use cases
Use healthcare data across clinical development, medical affairs, and marketing.
Candidate search
Trial feasibility
RWE generation
Market and treatment analysis
How it works
From criteria definition to attending-physician notification.
01
Define criteria
02
Match patient-level data
03
Review within the institution
04
Notify the physician
Service areas
Combine the data foundation, analysis, and clinical implementation around the objective.
Oncology RWD platform for continuous updates
Connect patient-level data and track changes over time
View detailsGenomics × EHR × outcomes integration
Connect biomarkers, treatment pathways, and outcomes at the patient level
View detailsHealthcare data analytics for pharma
Decision support for clinical development, medical affairs, and marketing
View detailsPhysician-led clinical implementation
Translate research criteria into clinically meaningful data and workflows
View detailsWhy CLINIAL
Clinical workflows and the data foundation are designed together.
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.
Neutrality & Governance
Patients and physicians make the decision.
CLINIAL does not provide medical care or promote participation in a specific treatment or trial. We support neutral information delivery under the governance and authority of each medical institution.
- Operation based on patient consent and institutional approval
- Sponsor-independent, neutral notification to attending physicians
- Fees are not tied to prescription or trial-enrollment success
Tell us the disease, biomarker, and use case you are considering.
We will help determine where to start—candidate search, trial feasibility, RWE generation, or market and treatment-pattern analysis—based on available data and institutional conditions.