The following software is required prior to attending the class. Some of the software will be supplied by the instructor while others is required on the student's machine.
- Windows XP
- Internet Explorer or Mozilla Firefox
- Microsoft Office: Word and Excel
- Team Viewer - Desk sharing software for viewing course
- Sy/Map - Coding Software
Latest download will be made available before week of class.
Sy Truong is the cofounder and president of MXI (Meta-Xceed, Inc.) since 1997. MXI provides software solutions within the Pharmaceutical Industry specializing
in CDISC data standards, SAS validation, electronic submission, data analysis and reporting. Sy is one of the committee members of the Bay Area SAS User Group (www.basas.com). He is a frequent contributor and presenter
at PharmaSUG, WUSS, and SUGI conferences. He's currently writing a book for SAS Publishing entitled
Becoming a SAS Clinical Trials Programmer.
In a world where information can easily be accessed by applying a Google search, mapping unstructured
clinical terms or verbatim terms from an adverse event or a drug name to a standard term no longer needs to be an arduous task. One of the challenges of working with coding medical terminology is combining several skills that are diverse from many different disciplines. The user needs to be clinically trained to understand and interpret the meaning of the adverse events or the drug name. An understanding of the normalized database and the multi-axial structure of the hierarchical data is required to navigate the dictionary. The user must also be adept in manipulating the source data and joining this with the proper fields of the dictionary tables to derive at the final mapped data. Expecting users to overcome these hurdles without a clear process or tools can lead to a very laborious and painful process. This paper will address many of the issues confronted when coding terms by demonstrating tried and true methodologies and technologies to automate and make this an efficient easy process.
It is essential that you have a consistent thesaurus dictionary when performing an analysis on clinical terminologies. This
course will show processes to allow clinical users to function optimally with data
managers and clinical programmer analysts. Armed with the understanding of the process and the right tools, you can narrow the gap between the different disciplines required to perform mapping decisions in a manner that is as easy as typing a Google search.
Course slides, sample data, quiz and other
resources are available here.