Intelligent Medical Coding

Intelligent Medical Coding by CluePoints is an AI-powered solution designed to enhance the accuracy and efficiency of medical coding processes in clinical trials. Built on advanced Deep Learning (DL) technology, it provides precise, automated coding suggestions that seamlessly integrate with existing systems, dramatically reducing the need for manual dictionary searches and costly coding reviews. The solution is purpose-built for Sponsors and Contract Research Organizations (CROs) seeking to cut coding effort in half, improve data quality, and accelerate clinical development timelines.

With 20–30% of medical coding terms traditionally requiring manual processes, and initial manual coding achieving approximately 85% accuracy, CluePoints' DL model elevates suggestion accuracy to up to 99%, ensuring uniformity across all coded data throughout the clinical trial process. The platform has supported over 2,000 studies de-risked and detected more than 220,000 potential issues across its 11,700+ platform users.

Automated Medical Coding Processes

• Traditional coding systems rely on synonym lists to match terms from medical records to standardized codes, leaving many terms unmatched and requiring manual intervention.
• The DL model supports the manual coding process by providing high-accuracy code suggestions, reducing the burden on medical coders and minimizing the need for secondary review.
• Automation significantly reduces time spent on manual dictionary searches and repetitive coding tasks, freeing up resources for higher-value activities.

Continuous Improvement with AI-Driven Deep Learning

• The DL model continuously learns from automated coding outcomes and the decisions made by medical coders, improving the quality of suggestions over time for each verbatim term.
• This ongoing learning transforms the role of medical coders from routine data management to more analytical, data science-oriented tasks.
• Coders shift their focus toward approving, reviewing, and analyzing coding trends, enabling deeper insights into clinical trial data and adding greater strategic value.

Quality Control Checks

• Manual quality control in medical coding is prone to inconsistencies caused by human error, varying interpretations, and high data volumes.
• CluePoints enables risk-based quality control of medical codes, ensuring accurate coding with limited manual intervention.
• Through continuous learning and adaptation, the DL model minimizes errors and discrepancies, delivering reliable and consistent results across coders and studies.

Deep Learning Model Capabilities

• High-Probability Medical Code Suggestions: Provides automated coding suggestions for adverse events and concomitant medications at up to 99% accuracy, streamlining the manual coding workflow.
• Streamlined Coding Processes: Significantly reduces the time and effort required to manually code terms while increasing coding consistency across studies.
• Improved Data Quality Control: Minimizes manual quality control checks, reducing inconsistencies across medical coders and studies while saving time and resources.
• Dictionary Upversioning: Automatically handles regular upgrades of the WHODrug and MedDRA dictionaries, achieving up to 80% accuracy for completely new terms.
• Broad Vocabulary Support: Ensures accurate and automated coding across a wide spectrum of medical jargon, drug names, and emerging clinical trial terminology.
• Semantic Understanding: The DL model comprehends the meaning of medical terms, including nuanced expressions, such as correctly translating "ache" to "pain."

Medical Coding System Implementation Support

• CluePoints supports the implementation of its medical coding solution within ongoing clinical trials.
• A dedicated professional services team is available to guide organizations through every step of the implementation journey.
• The solution is designed for both Sponsors and CROs, providing a smarter approach to detecting and managing risks that could impact clinical trial outcomes.

Intelligent Medical Coding integrates into the broader CluePoints platform, which leverages AI and advanced statistics to transform clinical development outcomes. By addressing the inefficiencies of manual coding — including duplicate work, inconsistencies across coders and studies, delays, and increased costs — CluePoints helps life sciences organizations accelerate time to market while maintaining the highest standards of data quality and compliance.