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From Record to Reason™

The intelligence layer behind AI scribes, CDS, and predictive models

Most healthcare AI tools focus on a single task — documentation, alerts, or risk flags. True Clinical Reasoning AI is the intelligence layer that makes those tools clinically meaningful, enabling longitudinal reasoning, co-morbidity awareness, and real-time decision support inside clinical workflows.
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What “From Record to Reason™” Means

Traditional Systems: Record-Centric

  • Store diagnoses, CPT codes, labs, and vitals
  • Optimized for retrieval, reporting, and billing
  • Static, siloed, and context-blind
  • No understanding of clinical intent or decision pathways

cliexaAI: Reason-Centric

  • Encodes why clinical decisions were made
  • Links symptoms → diagnostics → diagnoses → treatments → outcomes
  • Captures multi-comorbidity interactions across domains
  • Enables true reasoning indexing, not just data storage

True Clinical Reasoning Architecture

Dual-Process Clinical Intelligence (Human-Mirroring Design) that mirrors how expert clinicians actually think.

Pattern Recognition

  • Sub-second insights for common clinical patterns
  • Rapid risk flags, trend recognition, and protocol matching

Analytical Reasoning

  • Deep, multi-domain analysis for complex cases
  • Evaluates comorbidities, medication conflicts, longitudinal risk

Metacognitive Oversight

  • Confidence scoring and dynamic mode selection
  • Determines when fast intuition is enough—and when deeper reasoning is required

cliexaAI does not reason in silos.

Cross-Domain Clinical Intelligence

Continuously analyzs interactions across conditions, such as:

  • Cardiovascular + CKD

    Cardiovascular + CKD

  • Chronic Pain + OUD + Mental Health

    Chronic Pain + OUD + Mental Health

  • Diabetes + Hypertension + Depression

    Diabetes + Hypertension + Depression

Key Outcomes:

  • Multi-component risk stratification

    Multi-component risk stratification

  • Intelligent filtering with ~85% reduction in alert fatigue

    Intelligent filtering with ~85% reduction in alert fatigue

  • Clinically relevant insights surfaced only when they matter

    Clinically relevant insights surfaced only when they matter

cliexaAI is explainable by design.

Clinical Reasoning Artifacts

Every insight produced by cliexaAI is backed by traceable clinical reasoning, including:

  • Diagnostic hypotheses

    Diagnostic hypotheses

  • Treatment rationale

    Treatment rationale

  • Prognostic context

    Prognostic context

  • Confidence assessments

    Confidence assessments

All grounded in a Unified Patient Model integrating:

  • EMR data

    EMR data

  • Labs and vitals

    Labs and vitals

  • Patient-reported outcomes (PROs)

    Patient-reported outcomes (PROs)

  • Devices and remote monitoring

    Devices and remote monitoring

Why cliexaAI Is Different

Not LLM-first → Rules-based clinical reasoning is the foundation

Not alert-driven → Context-aware, confidence-weighted intelligence

Not static → Closed-loop learning from outcomes and billing feedback

Not single-domain → Built for real-world multi-morbidity

Validated through partnerships with Mayo Clinic Platform, American College of Cardiology, Kartini Clinic, and Astellas Pharma, cliexaAI represents 9+ years of clinical evolution, not experimental AI.