TY - JOUR
T1 - Implementing and improving automated electronic tumor molecular profiling
AU - Rioth, Matthew J.
AU - Staggs, David B.
AU - Hackett, Lauren
AU - Haberman, Erich
AU - Tod, Mike
AU - Levy, Mia
AU - Warner, Jeremy
N1 - Publisher Copyright:
Copyright © 2016 by American Society of Clinical Oncology.
PY - 2016/3
Y1 - 2016/3
N2 - 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 EMR. 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 feedback 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.
AB - 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 EMR. 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 feedback 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.
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U2 - 10.1200/JOP.2015.008276
DO - 10.1200/JOP.2015.008276
M3 - Article
C2 - 26813927
AN - SCOPUS:84962553586
SN - 1554-7477
VL - 12
SP - e332-e337
JO - Journal of oncology practice
JF - Journal of oncology practice
IS - 3
ER -