Abstract: Data quality issues pose immense obstacles to analysis, but even in the case of structured, semantically-clear information, inconsistency across sources of information is a barrier. By integrating terminology standards into a single model that supports custom extensions and by transforming various information models into a standards-based, normalized representation we can safely and reliably support data analysis that can be used to aggregate data created using any standard or non-standard input form or exchange mechanism.

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: This presentation will introduce the need for—and highlight the benefits of—Solor and Analysis Normal Form (ANF) – open source projects sponsored by the Department of Veterans Affairs (VA) to help achieve semantic interoperability. Attendees will also understand the impact of using Solor and ANF through a LOINC Wound Care Assessment Panel example.

Authors:

Timothy Williams (Presenter)
Deloitte

Rajkumar Cholan, Deloitte
Andrew Sills, Deloitte
Alice Li, Deloitte
Andy Chen Wang, Deloitte
Keith Campbell, Veterans Health Administration
Jonathan Nebeker, Veterans Health Administration
Steve Brown, Veterans Health Administration