Trialhelix Blog

Clinical Trial Data Operations Insights

Technical perspectives on EDC configuration, CDISC SDTM automation, data lock procedures, and Phase I/II trial execution for clinical data managers and CRO teams.

7 Articles
Abstract visualization of CDISC SDTM domain mapping with data flow nodes on a clinical data background
CDISC

CDISC SDTM Automation: Moving Beyond Manual SAS Programming in Phase I Trials

Manual SDTM mapping remains one of the largest time sinks in Phase I study closeout. We examine how automated domain mapping reduces the dependency on SAS programmer availability without sacrificing Pinnacle 21 validation integrity.

By Daniel Choi

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Data visualization showing query resolution timeline chart for clinical trial data management
EDC

What Drives Query Cycle Time in EDC Systems — and How to Reduce It

Query cycle time — the elapsed time from query issuance to resolution — is a reliable leading indicator of study execution quality. This post examines the structural causes of long cycle times and the configuration choices that shorten them.

By Priya Menon

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Checklist diagram representing clinical trial data lock procedures and reconciliation steps
DM

Data Lock Best Practices for Phase II Trials: A Clinical Data Manager's Checklist

A clean first-pass data lock depends on preparation that begins at study build — not in the final weeks. We walk through the reconciliation steps, database freeze procedures, and approval chains that reduce lock-and-unlock cycles.

By Sarah Lindqvist

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Phase I clinical trial study build configuration diagram with visit schedule and EDC structure
Study Build

Phase I Study Build: How to Configure EDC and Randomization Before First Subject In

Getting study build right before first subject enrollment prevents the costly mid-study eCRF amendments that push out timelines. This guide covers DMP alignment, visit schedule configuration, and IRT integration for Phase I oncology programs.

By Daniel Choi

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IWRS randomization flow diagram showing stratification tree for Phase II clinical trial
IWRS

IWRS and IRT in Phase II Trials: Integration Patterns and Common Pitfalls

Stratified randomization via IWRS or IRT is a standard requirement for Phase II programs, but integration with the EDC is a frequent source of delays. We review common integration patterns and the pre-study testing steps that prevent randomization system failures.

By Marcus Webb

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Audit trail log visualization showing field-level change records with user, timestamp, and reason columns
21 CFR Part 11

21 CFR Part 11 and the Audit Trail: What Clinical Data Managers Need to Verify

An audit trail that meets 21 CFR Part 11 requirements captures every field-level change, user identity, timestamp, and reason for change. This post covers what inspectors look for and how to configure your EDC to produce a defensible audit trail.

By Priya Menon

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CDISC validation error report visualization with severity categories for Pinnacle 21 submission package
Pinnacle 21

Pinnacle 21 Validation: Reducing Errors Before CDISC Package Submission

Pinnacle 21 Community and Enterprise are the standard tools for validating CDISC SDTM and ADaM datasets before regulatory submission. Understanding which error classes require SAS-level correction versus define.xml updates can cut validation cycles by a week or more.

By Daniel Choi

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