Oct 19, 2022 02:00 PM in Eastern Time (US and Canada)
Compliance professionals combating drug diversion at their organizations are under more pressure than ever due to factors such as a raging opioid epidemic, staffing shortages, pandemic burnout, and travel nurses unaware of the healthcare organization’s policies and procedures. In a time where hospital leaders are being asked to do more with fewer resources, leveraging technology is the way forward.
Artificial intelligence is vital to drug diversion monitoring because it can review every medication transaction and surface potential suspicious behavior faster and more accurately than manual methods. Time is of the essence when detecting diversion to reduce risk to patient and workforce safety as well as organizational reputation and finances.
A recent study in the American Journal of Health-System Pharmacy showed that advanced analytics and machine learning detected diversion 160 days earlier than methods not using that technology. Firsthand, Protenus has seen our customers’ diversion detection time drop by 80% or more and they’re able to detect diversion within 90 days of the incident occurring, on average.
It can be difficult to know where to start when creating a diversion program — in this webinar, learn best practices and key elements from experts in the fields of compliance and AI to create a successful program and reduce risk at your organization.
Learning objectives:
- Best practices for implementing a scalable, proactive risk reduction program
- How AI helps drug diversion prevention teams to monitor up to 100% of medication use transactions while requiring fewer resources
- How AI reduced Protenus customers’ diversion detection time by 80%+
