Prescription drug abuse is a serious and growing problem in the United States. The 2016 National Study on Drug Use and Health reported that an estimated 28.6 million Americans age 12 and over used illicit drugs during the month prior to the study. That means roughly 1 in 10 people struggle with some level of substance use, including addiction to prescription drugs.
The current prescription drug epidemic in the United States:
In the US, an estimated 54 million people over the age of 12 have used prescription drugs for nonmedical reasons in their lifetime.
The International Narcotics Control Board reported that in 2015, Americans represented about 99.7% of the world’s hydrocodone consumption
Between 2006 and 2016, nonmedical use of Adderall and emergency room visits involving the drug increased significantly, while treatment visits stayed the same. Adderall misuse rose 67 percent, and ER visits went up 156 percent, with family and friends serving as the primary source. Young adults (age 18-25) made up 60 percent of those using Adderall for nonmedical reasons.
The number of adults filling a benzodiazepine prescription increased 67 percent (from 8.1 million to 13.5 million) between 1996 and 2017, while the total quantity filled more than tripled. During this same time period, the overdose death rate for benzodiazepines more than quadrupled.
All 50 states have prescription drug monitoring programs (PDMPs) that actively track in-state prescriptions.
The First Genesis BcPaaS™ PDMP integrated comprehensive risk analysis solution assists hospitals and providers rapidly and accurately identify at-risk patients before prescribing an opioid by integrating predictive analytics and delivering providers the right patient risk information in a simple, intuitive dashboard that fits seamlessly into their existing clinical electronic medical record systems workflow.
The First Genesis BcPaaS™ architecture is capable of producing more than:
60,000 proofs per minute 3,600,000 proofs per hour / 86,400,000 proofs per day
Without requiring the use of GPU farms or large clusters of Virtual Machines
or third-party proofing services!