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cliexaAI - Opioid Use Disorder (OUD) Solution

cliexaAI helps clinicians identify early opioid risk using qualified, transparent AI that fits naturally into their existing EMR workflows. Among AI‑based OUD risk prediction models, cliexaAI is one of the only solutions currently available as a commercial, production‑ready clinical decision support product for health systems and payers.

Opioid misuse often begins quietly, long before symptoms appear. Across health systems, early risk indicators are buried within EMR data and missed in the rush of care delivery. cliexaAI brings those signals to the surface. 

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The Scale of the Crisis

Behind every number is a patient who could have been identified sooner.

10.1 million

10.1 million Americans misused prescription opioids in the US last year.

$504 billion

Annual societal costs for prescription opioid misuse are estimated at over $504 billion.

1.6 million

1.6 million people in the US had an opioid use disorder.

80,000+ lives

80,000+ lives lost in 2023 alone due to opioid use disorder

How It Works

Designed to identify adults aged 18–80 who are at potential risk for developing opioid use disorder.
Each prediction result includes a four-tier classification (Minimal, Low, Medium, High) with contributing factors clearly displayed. This helps clinicians understand why a patient falls into a given category and act with confidence.
The system integrates directly into EMRs so teams can review risk insights without changing their workflow or adding new dashboards.

Who It’s For

Prescribing clinicians, including physicians, nurse practitioners, and physician assistants, across primary care, pain management, emergency, and behavioral health settings.

Commitment to Responsible AI

Artificial intelligence should never feel like a black box. cliexaAI was built to make every step of its reasoning visible, testable, and clinically defensible. cliexaAI aligns with the principles of fairness, safety, and transparency.

Key Features

Explainable Clinical Intelligence

Displays risk levels (minimal, low, medium, high) and contributing risk factors to OUD enabling informed decision-making.

Operational Efficiency

Automated risk identification streamlines chart review and documentation, reducing the administrative and cognitive load on providers.

Seamless Integration

Works directly within EMR workflows, allowing clinicians to act immediately without changing their processes.

Secure and Compliant by Design

Adheres to HIPAA and HITRUST safeguards. Uses de-identified data and follows responsible AI principles.

Validated and Qualified Performance

Qualified on Mayo Clinic Platform for intended use, proposed value, and algorithmic performance.

Measurable Clinical and Financial Value

Protects against downstream costs of untreated OUD, and aligns documentation with payer expectations.

Transform your approach to opioid risk. Start with the facts.

See how cliexaAI’s qualified framework supports early detection, compliance, and operational efficiency.

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Disclaimer

Mayo Clinic does not endorse or warrant the third-party products or services made available through Mayo Clinic Platform, including their functionality, quality, or performance. Mayo Clinic expressly disclaims any express or implied warranties on such third-party products or services, including any implied warranties of merchantability, quality, accuracy, fitness for a particular purpose, or noninfringement.