August 2022 – The Data Driven Point of View

Nov 3, 2022 | News

Problem:  

What exactly is a physician’s role and responsibility when testing patients for genetic abnormalities?  

The American College of Physicians (ACOP) recently released a position paper discussing just this issue. Precision medicine raises many issues pertaining to both patient and provider education, counseling, privacy, confidentiality and more. Challenges arise as time can be limited for a proper informed consent or follow up, as well as limited availability to genetic counselors – the experts in this field.

If a clinician orders genetic testing for a patient, are the results accurate?  Was the lab able to find the genetic alteration, as well as clinically classify it correctly?  With little to no regulation in this space, each lab is able to deliver results without proving that they are accurate. Clinical decisions are made based on these genetic test results, which can be a false positive or false negative.

Solution:  The nonprofit Center for Genomic Interpretation (CGI) can assist by taking a non-biased approach by reviewing testing options to ensure the tests are being accurately represented. When choosing a genetic testing lab, ensure you are ordering or choosing a lab for ‘in network’ status that is delivering accurate results! Let us analyze this quickly and inexpensively today! Our review of a lab test’s technical accuracy costs less than a single risk reducing surgery or precision medicine therapy option.

CGI can assist with this project, as well as with creating transparency with other ¨preferred¨ labs for multiple precision therapeutic areas, all of which are a large cost for potentially false positive, false negative or misleading results. Please contact us today to set up a time to learn more and start the analysis of your ¨preferred¨ comprehensive genetic or genomic profiling labs.

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Patients deserve accurate genetic or genomic test results
The post August 2022 – The Data Driven Point of View appeared first on Center for Genomic Interpretation.