Capture Cleaner, Higher-Quality Trial Data With Integrated eSource
Streamline clinical trial data capture through eSource workflows that support both Direct Data Capture and automated EHR-to-EDC data transfer across Paradigm Health’s research-ready provider network.
Research teams can capture study data within the EHR or through a standalone application, enabling consistent workflows across sites while reducing manual transcription. Sponsors gain faster access to cleaner trial data with fewer queries and more efficient monitoring.
The Challenge
Growing Data Demands Strain Site Capacity and Delay Delivery to Sponsors
Clinical trials generate enormous volumes of clinical data, yet much of that information must still be manually entered, reviewed, and reconciled before sponsors can use it for analysis and regulatory submission.
As protocols grow more complex and data requirements expand, the burden on research teams increases, making it harder for sites to consistently capture study data while sponsors face delayed visibility, higher query volumes, and growing monitoring effort.
Trial Data Delays
Study data often lags behind clinical activity, limiting sponsor visibility into trial performance and delaying key milestones such as interim analyses and database lock.
Rising Costs and Site Burden
When data must be manually entered and verified across sites, sponsors rely on intensive monitoring and query resolution—while research teams face increasing operational burden that limits the number of studies they can effectively support.
The Solution
Make Clinical Care the Source of Clean, High-Quality Trial Data
Paradigm Health eSource Casebook enables clinical trial data to be captured and transmitted directly from routine care workflows. Through EHR-integrated eSource capabilities deployed across its research-ready provider network, structured and unstructured clinical data are captured at the point of care, organized within study workflows, and transmitted to sponsor EDC systems.
Research teams work within a consistent set of study workflows across trials, accessing tools directly from the EHR or through a standalone application rather than switching between sponsor-specific systems. This approach simplifies study execution, reduces operational burden of trial data collection, and allows teams to support more studies while helping sponsors receive cleaner, more complete datasets with fewer queries.
Platform Capabilities
Embedded Study Workflows and Automated Trial Data Capture
Paradigm Health streamlines study execution by embedding research workflows directly into clinical systems across its provider network. Research teams capture protocol-required data through Direct Data Capture forms used across studies, while existing clinical information can be derived from the EHR and structured within study visit workflows.
Standardized workflows reduce system switching for research teams and enable sponsors to receive more consistent, higher-quality trial data across participating sites.
Seamless Implementation and Configuration
Standards-based EHR integrations and streamlined study configuration enable rapid deployment of research workflows within existing clinical systems.
Automated Transfer & Extraction
Structured clinical data can transfer directly from the EHR while AI pipelines structure relevant trial data from documentation to reduce manual transcription.
Source-Linked Data Verification
Integrated source review tools link study data directly to clinical records, improving traceability and reducing the time required for monitoring and source verification.
Protocol-Guided Data Capture Across Sites
Embedded protocol guidance within Direct Data Capture forms helps research teams capture the right data at the right time, improving consistency across sites and supporting more reliable, audit-ready trial data.
Data & Integration Infrastructure
Technology Designed for Modern Trial Data Demands
Paradigm Health enables the automated transmission of electronic source data from EHR systems and Direct Data Capture workflows into sponsor data systems through a unified integration layer embedded across its research-ready provider network.
Clinical data can be transferred directly from the EHR, while AI-assisted pipelines structure relevant trial data from documents and other sources using standardized data models that reduce mapping effort.
Direct Data Capture workflows ensure that data not available in the EHR can still be captured within the same system, with each data element linked back to its originating clinical source for field-level traceability.
Standards-Based EHR Integration
FHIR-based integrations connect trial workflows directly to provider EHR systems.
- SMART on FHIR integration
- Compatible with major EHR platforms
- Rapid deployment across sites
Comprehensive Trial Data Coverage
Capture trial-relevant data across multiple systems and documentation sources.
- Structured EHR fields
- Clinical documentation and reports
- Customizable DDC forms
Automated Data Structuring and Mapping
Data is automatically transformed into EDC-aligned CRFs using standardized models.
- Automated mapping to eCRF fields
- Normalization of units and terminology
- Datasets aligned to study database
- Reusable mappings (studies and sites)
Direct EHR-to-EDC Data Transfer
Structured trial data can be transmitted directly to sponsor data systems.
- Automated sponsor EDC transmission
- Reduced data re-entry
- Faster availability of cleaner data
Proof Points
Proven Impact Across Technology-Enabled Clinical Trials
Technology-enabled studies supported by Paradigm Health demonstrate measurable improvements in data quality, timeliness, and operational efficiency across clinical trials.
