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. 2018 Jun 19;19(10):847–860. doi: 10.2217/pgs-2018-0028

Table 2. . Current and desired states of standardization of pharmacogenomic test ordering and reimbursement.

Process Current state Desired state Ongoing initiatives Gaps/opportunities
Gene/drug selections Genes are selected by laboratory doing the test, often structured around reimbursement and clinicians must navigate these tests after determining the gene to interrogate Must-test genes drive more consistent panel reimbursement and easier ordering process. Disease-specific guidelines provide recommendations of use of genetic test CPIC – list of actionable genes and corresponding drugs, uses levels of evidence to support clinical utility (https://cpicpgx.org/genes-drugs/) List updates needed on ongoing basis
Effects of WGS/WES on gene selection/reimbursement

Market awareness: available tests and appropriate use Clinicians under-aware of the types of pharmacogenomic tests available and the clinical utility of each Userfriendly and intuitive database to provide available tests by medication class and disease state with clinical recommendations for use GTR (www.ncbi.nlm.nih.gov/gtr/) provides central location for voluntary submission of genetic test information by providers GTR relies on voluntary submission and could be more complete
Resources should be readily understandable by patients

Current reimbursement and out of pocket costs (OOP) No consensus, little reimbursement for testing outside of oncology, and lack of unique CPT codes Sharp increase in the number of unique CPT codes for expanding number of tests, payer engagement in requirements from laboratories Approximately 10 new CPT Tier 1 codes available for 2018
Active research and interest among field
Further understand payer perspectives on pharmacogenomics, especially evidence requirements and decision making processes
Develop structures and tools to reuse pharmacogenomic results over time which increases value of testing

CPT: Current procedural terminology; GTR: Genetic testing registry; WES: Whole exome sequencing; WGS: Whole genome sequencing.