Genetic testing can help identify those at risk for hereditary breast and ovarian cancer syndrome and Lynch syndrome. Yet, fewer than one-fifth of individuals who are eligible have undergone genetic testing. One obstacle is that the most effective approaches for implementing hereditary cancer risk screening programs have not yet been determined. Catharine Wang and colleagues assessed genetic counseling and testing uptake following the use of a digital cancer genetic risk assessment program. Individuals at 27 healthcare sites across 10 states were screened for genetic cancer risk using CancerIQ, a digital healthcare technology platform. CancerIQ gathers comprehensive patient data and triages patients into different risk tiers. The program facilitates genetic testing orders, creates personalized care plans for patients based on testing results, and monitors all follow-up care. It also supports clinicians via automated alerts to patients and providers when follow up cancer screenings are due. In total, more than 100,000 people were screened and nearly one third were identified as high risk. Sixteen percent of those identified as high risk proceeded with genetic testing.
The ACMG Annual Clinical Genetics Meeting is where geneticists gather for the best four days of medical genetics.
Medical genetics is experiencing growth and exciting development in diagnostic and treatment options. Reunite with your peers to learn about updates, hear case studies and experience a recommitment to providing your patients with optimal care.
Welcome to the ACMG Genetics Academy.
The mission of the CME program is to provide education and tools for medical geneticists, other health professionals and the public and grow the genetics workforce. From the fundamentals of genetics and genomics to the best practices of clinical care, ACMG courses will enable them to provide the very best possible care to their patients and perform optimally in their other professional responsibilities as measured by improvements in competence, performance, and patient health status.