
#405 Why Insurance Denies Genetic Testing, and How to Navigate Coverage
DNA Today: A Genetics PodcastShow Notes
Genetic testing can change the course of a patient’s care, but accessing the right test is not always straightforward. Behind the scenes, insurance coverage decisions, documentation requirements, prior authorization, denials, appeals, and cost concerns can all influence whether a patient receives timely answers. In this episode of DNA Today, we launch a new special series sponsored by Revvity in this episode exploring the health economics of genetic testing and the real-world systems that shape access to genomic medicine. Host Kira Dineen is joined by Dr. Madhuri Hegde, Senior Vice President and Chief Scientific Officer at Revvity, and Mackenzie Mosera Derby, a pediatric genetic counselor at UW Health. Together, they examine genetic testing access from both the diagnostic laboratory and clinical perspectives exploring why insurance coverage remains so inconsistent, what goes into a prior authorization, why genetic tests are commonly denied, and how clinicians can approach appeals and peer-to-peer reviews. In This Episode, We Discuss
The transition from stacked laboratory procedure codes to codes for genes, panels, exomes, and genomes How and why insurance coverage varies among payers and individual health plans Coverage differences across hereditary cancer testing, exome sequencing, genome sequencing, reproductive testing, and population screening How rapid and ultra-rapid genome sequencing may be covered differently from standard genome sequencing The limited coverage available for preventive and population-based genomic testing The coordination required among patients, clinicians, laboratories, and insurance companies Why laboratories offering tests with similar names may differ in technology, interpretation, turnaround time, and clinical support What documentation is typically required for a genetic testing prior authorization How clinicians demonstrate medical necessity and clinical utility Why professional guidelines and peer-reviewed literature can strengthen an authorization request The role laboratories play in benefits investigations, billing assistance, financial support, and prior authorization Why laboratories may perform testing without knowing whether they will ultimately be reimbursed Common reasons insurance companies deny genetic testing Why “this test will not change clinical management” can be an overly narrow interpretation of genetic testing’s value How genetic results may inform surveillance, reproductive decisions, recurrence risks, family members, research eligibility, and patient support The role of hospital test utilization committees Why genetic counselors and geneticists should be represented on utilization review teams How letters of medical necessity (LOMN) and peer-to-peer reviews may support an appeal Why genetic counselors may be prevented from conducting peer-to-peer reviews, even when they were the ordering provider The time clinicians spend educating insurance representatives about genetics Why payer policies frequently lag behind genomic technology and professional recommendations The importance of detailed clinical documentation and accurate diagnostic coding The difference between prior authorization, insurance coverage, and guaranteed payment How self-pay pricing and misleading “no-cost” language can create confusion The potential devaluation of genetic testing and genetic counseling services through complementary or low cost self-pay options Why improving access requires collaboration among patients, clinicians, laboratories, professional organizations, healthcare systems, and payers
About The Guests Madhuri Hegde, PhD, FACMG, is the Senior Vice President and Chief Scientific Officer at Revvity, where she leads the company’s scientific strategy and oversees Revvity Omics’ global network of laboratories. Dr. Hegde is a medical geneticist and an American Board of Medical Genetics and Genomics-certified diplomate in clinical molecular genetics. Her work focuses on advancing
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