CASE STUDY

Improving Multi-Site Data Consistency for an Oncology Comparator Study with Clinion EDC

Overview

A pharmaceutical sponsor running a 15-site oncology comparator study needed to manage a dataset that was both high-volume and time-sensitive. Unlike a standard safety trial, this was a bioequivalence study, where the entire result depended on blood samples being drawn and recorded within tight, fixed windows across three treatment periods. Getting the clinical data right wasn’t enough; the timing had to be right too.

Each treatment period required blood samples at 18 defined time points, per the registry record, so the PK eCRF structure had to mirror that schedule closely. Sample timing, dosing details, safety data, and period-wise observations all had to stay connected to the right subject, visit, and treatment period, or the comparison that the whole study existed to make would be compromised.

Conducted across 15 sites, the study enrolled 78 subjects, each moving through all three treatment periods. The study used 45 distinct eCRF page types to capture period-wise dosing, PK sampling, safety, adverse events, and follow-up data, supported by complex, study-specific edit checks designed to catch inconsistencies as they occurred.

This is where Clinion EDC turned a PK-heavy workflow into a structured digital capture and review process. The eCRF setup was configured around the study’s visit and PK-timepoint structure, made possible by an eCRF builder flexible enough to match the protocol’s exact sampling schedule rather than a generic form. Study-specific edit checks flagged missing, incomplete, or inconsistent entries during capture and review, and centralized query workflows and site-wise data visibility gave data managers one place to track discrepancies, monitor data completion, and prepare cleaner data across all 15 centers.

Study Snapshot

Client & Industry

Pharmaceuticals

Industry

Pharmaceutical sponsor

Client

Study Design

Interventional

Study Type

Oncology

Therapeutic Area

Bioequivalence study

Study Phase

Computer-generated treatment sequence allocation

Randomization

Multicenter comparator study with repeated treatment periods and PK-based outcome assessment

Study Design

Scale & Geography

India

Region

15 sites

Site Count

Regulatory & Delivery

DCGI regulatory clearance

Submission

Clinion EDC

Products Provided

Approximately 10 months (as per project input)

Study Duration

Challenges

Maintaining Data Consistency Across a 15-Site Oncology Bioequivalence Study

This oncology bioequivalence study required multiple sites to capture PK, safety, treatment-period, and follow-up data with the same level of structure and consistency across three treatment periods. The key challenge was keeping high-volume, time-sensitive data tied to the right subject, visit, treatment period, and review workflow across a distributed site network.

Site-Level Variation Across a High-Volume Dataset

With 15 sites entering data across 45 CRF page types per subject, and 78 subjects enrolled across three treatment periods, the study generated a large volume of expected CRF page records. Even small differences in how sites entered screening, dosing, PK, or safety data could multiply across that volume, increasing query burden and slowing review.

Intensive, Time-Sensitive PK Sampling Across Three Treatment Periods

Each treatment period required blood samples at 18 defined timepoints, per the registry record, meaning every subject generated a substantial number of individually timed PK entries across the three periods. The challenge was making sure every PK entry stayed connected to the correct subject, visit, treatment period, and sampling timepoint.

Safety Monitoring and Central Review at Larger Enrollment Scale

Enrollment reached 78 subjects against an original target of 54, creating a larger-than-planned review burden across safety assessments, adverse event records, and follow-up data. The challenge was maintaining centralized visibility into safety data, missing fields, discrepancies, and query status across all participating sites.

Solutions

A Clinion EDC Workflow Built Around This Study's Specific Data Demands

Clinion EDC was configured to answer each of this study’s data challenges directly, rather than as a generic data capture layer laid over the top.

Clinion EDC gave all 15 sites the same CRF structure for capturing the study’s repeated screening, dosing, PK, safety, adverse event, and follow-up data. This was important because the same type of data had to be entered again across multiple treatment periods, and even small site-level differences could create repeated discrepancies across the dataset.

The setup helped standardize:

The 45 CRF page types used across the study
Period-wise dosing and treatment data entry
PK data capture within the correct subject and visit flow
Safety and adverse event documentation across repeated periods
Follow-up data entry across participating centers

This gave the sponsor and research partner one consistent data structure to review, instead of having 15 sites create variation across a high-volume, treatment-period-driven CRF dataset.

The most sensitive part of the study was PK data capture. Each treatment period required 18 defined PK sampling timepoints, so the eCRF structure had to guide site users to enter each sample against the correct period and timepoint.

Clinion EDC’s configurable eCRF builder helped align PK data capture to:

The 18 planned PK timepoints in each treatment period
The correct subject, visit, and period sequence
Dosing details linked to the corresponding PK collection window
Safety observations captured in the same period-wise workflow
Review fields needed for PK data checks and reconciliation

This helped reduce the risk of PK samples being entered in the wrong period, under the wrong visit, or without the supporting dosing and safety context needed for review.

With enrollment exceeding the original target, repeated discrepancies could appear across subjects, sites, and treatment periods. Clinion EDC’s bulk query management helped data managers handle recurring issues as study-wide patterns rather than isolated site-by-site follow-ups.

The workflow helped data managers:

Raise related queries for repeated data issues across affected records
Manage PK, dosing, safety, and AE discrepancies from one workflow
Track which sites had responded and which records still needed correction
Maintain correction history across subjects, visits, and periods
Keep review activity moving across the full 15-site dataset

This helped the team manage a larger-than-planned review workload without turning every repeated discrepancy into a separate manual follow-up chain.

Outcomes

Core Results

The use of Clinion EDC helped the sponsor and research partner manage a multicenter oncology comparator study with greater consistency, visibility, and data review control.

Review Efficiency

Edit checks and structured workflows helped identify data issues earlier, reducing late-stage cleanup effort.

Data Traceability

Centralized query and correction history helped maintain a clear audit trail from data entry through closeout.

Site Consistency

Standardized eCRFs and site-wise visibility helped 15 centers follow one consistent data capture process.

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