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Implementing and Improving Automated Electronic Tumor Molecular Profiling.

Matthew J Rioth1, David B Staggs2, Lauren Hackett2

  • 1Vanderbilt University; Vanderbilt University Medical Center, Nashville, TN; and Foundation Medicine, Cambridge, MA matthew.j.rioth@vanderbilt.edu.

Journal of Oncology Practice
|January 28, 2016
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Summary
This summary is machine-generated.

Implementing an automated electronic reporting system improved the transmission of tumor genomic testing results into electronic medical records (EMRs). This system reduced errors, enhancing data accuracy for oncology practices utilizing targeted therapeutics.

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Area of Science:

  • Oncology
  • Medical Informatics
  • Genomics

Background:

  • Molecular profiling of tumors is crucial for targeted cancer therapeutics.
  • Third-party laboratories often lack electronic interfaces with electronic medical records (EMRs), leading to inefficient reporting via methods like fax.
  • Inefficient reporting reduces report fidelity, delays physician access, and hinders data accessibility.

Purpose of the Study:

  • To develop and implement an automated electronic reporting system for tumor genomic testing results.
  • To integrate genetic testing results directly into the clinical EMR system.
  • To improve the efficiency and accuracy of reporting in oncology practice.

Main Methods:

  • Collaboration between Vanderbilt University Medical Center and its genomic laboratory partner.
  • Iterative testing of the automated electronic reporting system.
  • Implementation of direct feedback mechanisms to providers for error correction.

Main Results:

  • The automated system successfully transmitted 832 tumor genomic testing reports over one year.
  • Most initial errors were linked to data entry or typographical mistakes preventing patient EMR linkage.
  • Direct provider feedback significantly decreased transmission error rates from 6.29% to 3.84% (P < .001).

Conclusions:

  • Automated electronic reporting systems can effectively integrate genomic testing results into EMRs.
  • Addressing data entry and typographical errors through direct feedback is key to system success.
  • This system enhances the accessibility and reliability of crucial genomic data for oncology decision-making.