Patients at risk for C. difficile Infection or opioid events can be difficult to detect.
Sentri7's AI+ Enhancements for Stewardship
Antimicrobial Stewardship - AI improves C. difficile infection risk detection with a CDI Risk Score
Empower pharmacy teams to move from reactive care to proactive care to prevent C. difficile infections and improve stewardship performance.
- A multidisciplinary team-validated AI model - Physicians, epidemiologists, antimicrobial stewardship experts and data scientists across Wolters Kluwer analyzed millions of deidentified records to cultivate a validated AI model for assessing C. difficile patient risk.
Sentri7's AI-powered surveillance and predictive CDI algorithm continuously monitor the inpatient hospital population in real-time to identify at-risk patients sooner.
Evidence-based rules track patients at elevated risk and suggested actions help clinical teams put evidence into practice sooner to proactively prevent C. difficile infections.
Patients’ risk scores automatically update as the patient condition and risk factors change, allowing clinicians to address modifiable risk factors at appropriate stages.
Opioid Stewardship - AI delivers a real-time Morphine Milligram Equivalent (MME) calculation
Ensure compliance with the Joint Commission's standards, improve inpatient opioid use and patient safety.
Real-time and precise MME calculations are powered by AI - Sentri7 leverages machine learning to analyze complex dosing data sets to automatically calculate patient-specific, real-time Morphine Milligram Equivalent (MME).
Sentri7 uses AI to continuously analyze the MME calculation over 24-hours and automatically updates it based on opioid dose administrations provided to the patient.
Evidence-based rules, combined with AI-powered tools and insights, identify and monitor patients at risk for opioid-related adverse events, as well as opportunities to discontinue use or change agents to improve patient care and safety.