INFOGRAPHIC: Addressing Coding Challenges with a Centralized Medical Coding Tool
Nov 21, 2016
Medical coding is a time-consuming and laborious responsibility for many pharmaceutical and biotech companies who conduct clinical trials and market their products in multiple locations around the world. Unless a centralized medical coding tool is used, inconsistencies and inefficiencies will impede the efforts to review, resolve and approve coded terms across staff, sites, trials and locations. Without consistent centralized coding, any kind of statistical analysis will deliver questionable results.
Are you using a coding tool/system currently?
As a necessary regulatory obligation, many biopharmaceutical companies and CROs struggle with coding medical and drug terms as quickly and efficiently as possible while still ensuring consistent and high quality coding. However, organizations are increasingly taking a centralized approach to medical coding to ensure that data is consistent to a standard that can be used across multiple departments in an organization.
Using consistent, standardized coding of terminology of safety data – from clinical trials to post-market adverse event reports — ensures reliable data analysis and reporting. This is essential in order to create an accurate safety profile and to prevent the dilution of safety signals or generation of false signals. Furthermore, having a central coding solution allows companies to leverage the capabilities in clinical as well as safety, removing inconsistencies and enabling cost savings.
agEncoder, from ArisGlobal, is a centralized coding and dictionary management software that enables efficient classification/coding and review of verbatim terms, and seamlessly integrates with an already available 3rd party EDC clinical or safety database. This allows organizations to use agEncoder as a “stand alone” application or as an integrated product for consistent coding and improved coding quality. Available on premise or as a hosted solution on the SaaS platform, agEncoder ensures a higher “hit rate” of auto-coding with a simplified handling of different versions of dictionaries.