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Wolters Kluwer, Health has applied artificial intelligence (AI) to its Sentri7 clinical program to optimise inpatient opioid use and increase patient safety. Pharmacists can decrease the risk of opioid-related adverse events, identify opportunities for use of multi-modal (non-opioid) therapies and support earlier discontinuation of opioids.

Part of the Sentri7 AI+ solution, Opioid Stewardship leverages machine learning to continuously analyse complex data sets and automatically calculate a patient-specific, real-time morphine milligram equivalent (MME) for opioid administrations. Sentri7’s evidence-based rules utilise MME and patient-specific data to empower pharmacists’ 24/7 monitoring of opioid use.

Data shows that the longer a patient takes an opioid and the higher the dose, the likelihood increases that they will continue to use (or abuse) that drug going forward. Hospitals are often where people have their first exposure to opioid agents and therefore are ideal targets for reductions in unnecessary exposure or prolonged use.

In addition to integration of MME values into Sentri7 clinical decision support rules, the Opioid Stewardship Analytics dashboard also incorporates key metrics for managing appropriate opioid use and patient safety issues. These reports provide clinicians, quality specialists, risk managers, and others with in-depth insights, including average MME per patient per day, use per opioid standardised by MME, and trends by prescriber, department and hospital.

The Sentri7 Opioid Stewardship initiative improves overall organisational compliance with the Joint Commission’s Pain Assessment and Management Standards by identifying and monitoring patients at high risk for adverse events, improving use of non-opioid treatments, supporting pain management policies and protocols, and, most notably, creating a performance improvement model focused on opioid use.

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