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Translating Limited and Inconclusive Evidence about Genetic Tests into Coverage Policy

July 23, 2014

The webinar was conducted in July 2014. Please note some content may be out of date.

Diane Allingham-Hawkins, PhD, FCCMG, FACMG – Sr. Director, Genetic Test Evaluation Program and Technical Editing
Pam Weber, RN, BSN – Director, Client Services and Clinical Research Support

Reviewing the medical need for genetic tests and writing coverage policies for these complex assays and conditions can be a daunting task. Establishing coverage policies that are based on evidence is essential but how can payers use the limited and inconclusive evidence that is available about genetic tests as a foundation to create a defensible coverage determination? Join us for this 60-minute live webinar as we explore Hayes’ approach to evidence-based evaluation and discuss how you can use our reports when making your critical coverage decisions about genetic and genomic tests. To illustrate the process, Dr. Diane Allingham-Hawkins, Director of Hayes’ Genetic Test Evaluation Program, and Pamela Weber, Director of Client Services, will walk you through a hypothetical example and demonstrate how to translate our conclusions and recommendations about the evidence into your coverage policy.

The target audience for this webinar includes payers interested in learning how to use Hayes’ genetic testing reports to create coverage policies for genetic and genomic tests. These include medical directors, health plan care managers, and claims specialists.

The purpose of this webinar is to provide an overview of Hayes ‘approach to the evidence-based evaluation of genetic and genomic tests and to demonstrate how to apply Hayes’ conclusions and recommendations to design evidence-based, defensible coverage policies.

At the conclusion of this webinar, participants should be able to:

  1. Describe Hayes’ approach to evidence-based evaluation of medical technologies and genetic tests
  2. Explain how Hayes’ reports and conclusions can support coverage determinations
  3. Apply this approach within the participants’ organizational structure