An Introduction to Medical Coding in Clinical Data Management [Video]

Medical coding in clinical data management is the process of converting site-reported free text into standardised medical terminology so it can be reviewed, grouped, and analysed reliably. In this explainer, we break down how medical coding works in clinical trials, where it fits in the clinical data lifecycle, and why it directly affects safety review, treatment pattern summaries, and regulatory confidence.

You’ll learn what teams mean by 'medical coding' in practice, including coding for adverse events, medical history, and concomitant medications using industry-standard dictionaries such as MedDRA (Medical Dictionary for Regulatory Activities) and WHO Drug (World Health Organization Drug Dictionary). We explain why consistent coding matters for signal detection and clean outputs, and how traceability back to verbatim entries supports inspection and submission readiness.

We also walk through a typical end-to-end coding workflow:

• Verbatim entry in EDC and how site wording affects downstream coding
• Coding tools and dictionary configuration, including version control
• Auto-encoding, where it helps, and where human review is essential
• Handling ambiguous terms through data queries and medical review alignment
• Producing analysis-ready coded datasets for listings, summaries, and tables
  
  

Finally, we cover the controls that keep coding defensible and efficient across a study, including study-specific coding conventions, quality control and audit trails, and governance across clinical and safety systems to reduce reconciliation issues. We also highlight common pain points, like poor verbatim quality and late-stage batching close to database lock, plus practical steps teams can take to reduce rework without adding unnecessary complexity.

At Quanticate, our clinical data, safety, and biometrics teams support sponsors with robust medical coding approaches that are consistent, traceable, and aligned across systems. Request a consultation today.