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      Clinical Molecular Marker Testing Data Capture to Promote Precision Medicine Research Within the Cancer Research Network

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          Abstract

          PURPOSE

          To evaluate health care systems for the availability of population-level data on the frequency of use and results of clinical molecular marker tests to inform precision cancer care.

          METHODS

          We assessed cancer-related molecular marker test data availability across 12 US health care systems in the Cancer Research Network. Overall, these systems provide care to a diverse population of more than 12 million people in the United States. We performed qualitative analyses of test data availability for five blood-based protein, nine germline, and 14 tissue-based tumor marker tests in each health care system’s electronic health record and tumor registry using key informants, test code lists, and manual review of data types and output. We then performed quantitative analyses to estimate the proportion of patients with cancer with test utilization data and results for specific molecular marker tests.

          RESULTS

          Health systems were able to systematically capture population-level data on all five blood protein markers, six of 14 tissue-based tumor markers, and none of the nine germline markers. Successful, systematic data capture was achievable for tests with electronic data feeds for test results (blood protein markers) or through prior manual abstraction by tumor registrars (select tumor-based markers). For test results stored in scanned image files (particularly germline and tumor marker tests), information on which test was performed and test results was not readily accessible in an electronic format.

          CONCLUSION

          Even in health care systems with sophisticated electronic health records, there were few codified data elements available for evaluating precision cancer medicine test use and results at the population level. Health care organizations should establish standards for electronic reporting of precision medicine tests to expedite cancer research and facilitate the implementation of precision medicine approaches.

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          Author and article information

          Journal
          JCO Clin Cancer Inform
          JCO Clin Cancer Inform
          cci
          cci
          CCI
          JCO Clinical Cancer Informatics
          American Society of Clinical Oncology
          2473-4276
          2019
          5 September 2019
          : 3
          : CCI.19.00026
          Affiliations
          [ 1 ]Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO
          [ 2 ]Kaiser Permanente Northern California, Oakland, CA
          [ 3 ]Henry Ford Health System, Detroit, MI
          [ 4 ]Genomic Medicine Institute, Geisinger, Danville, PA
          [ 5 ]HealthPartners Institute, Bloomington, MN
          [ 6 ]University of Washington and Kaiser Permanente Washington Health Research Institute, Seattle, WA
          [ 7 ]Kaiser Permanente Northwest, Portland, OR
          [ 8 ]University of Massachusetts Medical School, Worcester, MA
          [ 9 ]Kaiser Permanente Hawaii, Honolulu, HI
          [ 10 ]Kaiser Permanente Mid-Atlantic States, Rockville, MD
          [ 11 ]Department of Veterans Affairs Salt Lake City Health System, Salt Lake City, UT
          [ 12 ]Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
          Author notes
          Andrea N. Burnett-Hartman, Kaiser Permanente Colorado, 2550 S Parker Rd, Ste 200, Aurora, CO 80014; e-mail: andrea.n.burnett-hartman@ 123456kp.org .
          Article
          PMC6874000 PMC6874000 6874000 1900026
          10.1200/CCI.19.00026
          6874000
          31487201
          6702a354-9d8e-4a15-94da-88394f9e71fd
          © 2019 by American Society of Clinical Oncology
          History
          : 22 July 2019
          Page count
          Figures: 3, Tables: 2, Equations: 0, References: 55, Pages: 10
          Categories
          , Cancer Prevention and Control
          , Health Services Research
          Special Article
          Custom metadata
          v1

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