TT10
Pitfalls and Successes of Automating In-Text Tables for a Clinical Study Report: A Case Study
Matthew J Becker, PharmaNet, Inc.
Syamala Kasichainula, PharmaNet, Inc.
Joanna Moore, PharmaNet, Inc.

In-text tables within clinical study reports are a vital component for sponsors, but a source of headache for medical writers. In the past, perhaps today, medical writers transcribed numbers from tables, listings, and graphs produced with SAS into in-text tables. Novel approaches have been developed and presented to streamline this process. At PharmaNet, RTF output is generated in a table format so that the medical writer can copy the data into an in-text table. This paper and presentation will outline the medical writing needs, process used, and our attempts to provide the best solution.