Feedback on the initial blog entry on the subject, Part 1 - The Opiate Epidemic: Applying Better Matching and Analysis, indicated it came across as a bit heavy-handed on enforcement and less focused on identifying abusers for treatment. Part 1 to share the improved application of real-time hyper-accurate matching in PDMPs, and yes, it focused on enforcement while not applying enough to identifying those who need recovery support earlier and getting them into treatment sooner, where it has a higher probability of success. This blog will drill down deeper on the issue of the matching as part of a more technical discussion.
Data providers, healthcare institutions, banks, and government have the need to prevent unintentional loss of private or sensitive data, but their core business requires them exchange, or even sell, private or sensitive data - a process completely counter to data loss prevention (DLP). While not the core issue they faced, the Equifax breach highlights this DLP challenge. The vulnerability exposed Equifax to a massive data exfiltration through an "exit" from which they would normally expect sensitive information to leave. Current tools do not help enterprises that need to "break the rules" and push protected data externally - a process for which they were designed to counter. A system that prevents accidental and intentional release of enterprise sensitive data can't effectively guard the gateway where the largest amount of sensitive data enters and leaves the enterprise. Public and private data providers are critical to help business succeed, but they also need to know how to more effectively mitigate improper exfiltration of data through the very gateways they need to serve their customers and business partners.
Our country is dealing with an epidemic - the abuse of opiates. While they are medically necessary, the opiate epidemic leads to a death rate equivalent to a 747 crashing once a week. There is an immeasurable cost on society from recovery programs, incarceration, non-productivity, and broader emotional trauma. Early success can be credited to prescriber education and implementation of state-level Prescription Drug Monitoring Programs (PDMPs). This blog advocates a cost-effective and highly-effective approach using a shared PDMP with the state of the art in referential matching, real-time behavior analytics, and accurate national data sets indicating fraudulent IDs.