Case Study: NewYork-Presbyterian reduces opioid diversion with Splunk

A Splunk Case Study

Preview of the NewYork-Presbyterian Case Study

NewYork-Presbyterian reduces opioid diversion with Splunk

NewYork-Presbyterian, a comprehensive academic healthcare system, faced the challenge of combating the opioid crisis by preventing the diversion of controlled substances and high-cost medications. They needed to track data from various sources like electronic health records and pharmacy systems to identify illegitimate use. To address this, they turned to Splunk for a data analytics solution.

By partnering with Splunk, NewYork-Presbyterian built a medication analytics platform. This solution uses Splunk's capabilities for data correlation and machine learning to monitor for suspicious activity, such as irregular prescribing patterns or excessive access to dispensary cabinets. The results include enhanced safeguards against opioid diversion and the creation of a system that can serve as a model for other healthcare institutions, fulfilling a critical ethical mission.


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