1. Implementing and Improving Automated Electronic Tumor Molecular Profiling.
- Author
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Rioth, Matthew J., Staggs, David B., Hackett, Lauren, Haberman, Erich, Tod, Mike, Levy, Mia, and Warner, Jeremy
- Subjects
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CHI-squared test , *COMPUTER network protocols , *CONFIDENCE intervals , *DATA transmission systems , *DECISION support systems , *HEALTH care teams , *INFORMATION storage & retrieval systems , *MEDICAL databases , *SYSTEMS design , *XML (Extensible Markup Language) , *HUMAN services programs , *DATA analysis software , *ELECTRONIC health records , *GENE expression profiling , *DESCRIPTIVE statistics - Abstract
Oncology practice increasingly requires the use of molecular profiling of tumors to inform the use of targeted therapeutics. However, many oncologists use third-party laboratories to perform tumor genomic testing, and these laboratories may not have electronic interfaces with the provider's electronic medical record (EMR) system. The resultant reporting mechanisms, such as plain-paper faxing, can reduce report fidelity, slow down reporting procedures for a physician's practice, and make reports less accessible. Vanderbilt University Medical Center and its genomic laboratory testing partner have collaborated to create an automated electronic reporting system that incorporates genetic testing results directly into the clinical EM R. This system was iteratively tested, and causes of failure were discovered and addressed. Most errors were attributable to data entry or typographical errors that made reports unable to be linked to the correct patient in the EMR. By providing direct feed back to providers, we were able to significantly decrease the rate of transmission errors (from 6.29% to 3.84%; P < .001). The results and lessons of 1 year of using the system and transmitting 832 tumor genomic testing reports are reported. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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