Pain is a public health problem and affects at least 100 million American adults, yet only 58% of patients who take prescription pain medication receive adequate relief. With Pharmacgoenomics testing (PGx) you have the ability to positively impact the treatment of your patients who require analgestic therapy and predict whether they will experience inadequate relief or an adverse event.
It is well recognized that different patients respond in different ways to the same medication. More than two million serious adverse drug reactions occur annually and account for at least $3.5 billion in extra medical costs.
Establish a clear understanding of potential drug/gene and drug/drug interaction unique to each patient to build the most effective and safe treatment plan. AccessDX’s PGx aims to predict phenotype and metabolism through genotype, with the immediate goals of preventing adverse drug events and therapeutic failures and the ultimate goal of improving overall patient care.
Don’t expect complicated genomic reports. AccessDX reports are intuitively laid out with every step thoughtfully considered — with the addition of an alternative drug assessment for the most commonly used drugs. The report you receive will be specific to your specialty.
Following the initial diagnostics and reports, our staff is able to review the clinical implications, giving proactive, predictive recommendations to help physicians improve clinical insight and optimize therapy decisions.
AccessDX goes beyond the report. Following the initial diagnostics and reports, our staff continuously discusses the clinical implications, giving proactive, predictive recommendations to help physicians improve diagnosis and optimize therapy decisions. AccessDX also offers continual monitoring services and provides information on whether drug dosage adjustment is needed. Our PharmD call center is available to all physicians.
The following are some of the most common medications affected by drug/gene and drug/drug interaction that patients should be genetically tested for: