Achieve accurate medical coding with CDS Coder. Automatically find the closest matching dictionary term with its Coding Suggestions algorithm that uses Natural Language Processing and Machine Learning. The algorithm learns ‘on the job’ to quantify the impact of the suggested matches and improve coding accuracy.
Efficiently code your EDC data with CDS Coder. CDS Coder is tightly connected with CDS EDC, delivering an automated medical coding workflow. Verbatim terms in CDS EDC are flagged as coding tasks in Coder. Queries raised in Coder are displayed against the relevant verbatim in CDS EDC, and answers are returned to Coder. Once a term is coded in Coder, the coding decision is passed back to CDS EDC.
Eliminate your dictionary maintenance tasks and ensure your studies always have access to the latest dictionaries.
With CDS Coder, dictionary maintenance is managed by ClinicaldataS, with updates made within ten business days of the release of new dictionary versions from MedDRA, WHODrug, and JDrug.
Achieve accurate medical coding with CDS Coder. Automatically find the closest matching dictionary term with its Coding Suggestions algorithm that uses Natural Language Processing and Machine Learning. The algorithm learns ‘on the job’ to quantify the impact of the suggested matches and improve coding accuracy.
Efficiently code your EDC data with CDS Coder. CDS Coder is tightly connected with CDS EDC, delivering an automated medical coding workflow. Verbatim terms in CDS EDC are flagged as coding tasks in Coder. Queries raised in Coder are displayed against the relevant verbatim in CDS EDC, and answers are returned to Coder. Once a term is coded in Coder, the coding decision is passed back to CDS EDC.
Eliminate your dictionary maintenance tasks and ensure your studies always have access to the latest dictionaries.
With CDS Coder, dictionary maintenance is managed by ClinicaldataS, with updates made within ten business days of the release of new dictionary versions from MedDRA, WHODrug, and JDrug.