Advances in Volume Encoding Clinical Data

Abstract

In the pharmaceutical industry, there are a variety of organizational and process approaches to coding and classifying patient data. In any pharmaceutical development structure, automated coding of patient clinical data greatly facilitates data analysis by reducing the amount of time spent on coding review. This paper will describe the clinical data encoding system currently in use at Astra Pharmaceuticals, L.P., and will present a portrait of a successful model for an autoencoding algorithm program. Computer-assisted coding cannot entirely substitute for coding and data review by qualified medical personnel; however, a volume data autoencoding application can significantly improve the quality, consistency, and pace of the data coding process, thereby allowing for more efficient analysis and reporting in the execution of a clinical trial.