An issue tracking system to facilitate the enhancement of clinical data quality in the clinical breast care project.

Yonghong Zhang*, Weihong Sun, Emily M. Gutchell, Hai Hu, Michael N. Liebman, Craig D. Shriver, Richard J. Mural

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

An online issue tracking (QAIT) system was developed to support the QA of questionnaire-based clinical data and tissue banking in the Clinical Breast Care Project (CBCP). The web-based system provides a centralized storage and management of QA issues and role-based access to related information and functions via internet. The QAIT system greatly improved the QA process for the CBCP clinical data and tissue banking and can be easily adapted to other applications.

Original languageEnglish
Pages (from-to)1173
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2007
Externally publishedYes

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