One connected pathway for opioid stewardship and behavioral health.
cliexa and OpiSafe have joined forces to bring AI-powered risk prediction, evidence-based tapering, and closed-loop treatment referral into a single workflow, delivered inside the EMR your clinicians already use.
The Problem
The hardest part is rarely a single decision. It is the missing connection between spotting risk and acting on it.
Fragmentation of system
Opioid misuse, chronic pain, regulatory pressure, and limited behavioral health access all pull clinicians in different directions at once. Most tools address one piece and leave the handoffs to chance. cliexa and OpiSafe close that gap with one guided pathway that carries a patient from identification through intervention, treatment coordination, and long-term management, without forcing clinicians out of their existing workflow.
Three capabilities, one workflow
Each stage feeds the next, so risk insight becomes a safer prescribing decision, and a decision becomes a connected referral.
AI-Powered OUD Risk Prediction
Identifies patients at risk of opioid use disorder using predictive analytics and real-time clinical intelligence, with four-tier risk stratification and explainable contributing factors so clinicians see what is driving each score.
Opioid Tapering Management
Operationalizes evidence-based tapering and monitoring workflows, helping providers safely reduce opioid exposure while keeping patients engaged and in continuous care.
Treatment Referral & Care Coordination
Streamlines closed-loop referrals to behavioral health, addiction treatment, and specialty care, while supporting documentation, quality initiatives, and payer expectations.
What your organization can put into practice
Validated foundations, defensible technology
Mayo Clinic Platform-qualified
Patented Technologies
Built for the Enterprise
See the connected pathway in action.
Walk through how AI-powered risk prediction, tapering, and closed-loop referral come together inside your EMR. We will tailor the demo to your organization and patient population
