Home
/
/
Data & Analytics
/
Machine Learning and AI

Make AI Practical, Explainable, and Useful

Turn advanced analytics into real-world action with pragmatic AI solutions built for healthcare. From predictive models to embedded intelligence, we help you put data to work across your organization.
Turn Complex Data Into Clear, Predictive Insights
Talk to an Expert

Practical AI that Drives Results

AI in healthcare is often more hype than help. Many solutions promise transformation but fail to deliver real outcomes or gain traction with frontline users. Health Catalyst makes AI practical, transparent, and effective—so you can drive change without complexity or confusion.

Build Explainable Predictive Models

Forecast risk and improve outcomes with transparent AI that earns user trust.

  • Apply proven models with healthcare-specific features.
  • Prioritize interpretability with clear explanations and inputs.
  • Validate results against clinical and operational outcomes.

Result: Actionable insights with context that clinicians and leaders understand.

Embed AI Where Decisions Happen

Deliver intelligence in the moments that matter—no switching systems required.

  • Integrate scores into EHRs, dashboards, and workflows.
  • Enable proactive alerts for risk, gaps, and priorities.
  • Personalize insights by role and setting.

Result: Better decisions, made faster and with less friction.

Expand from Point Solutions to Enterprise AI

Grow from one-off models to a sustainable, scalable AI strategy.

  • Centralize model management and performance tracking.
  • Standardize deployment and monitoring processes.
  • Reuse components and logic across use cases.

Result: A cohesive AI ecosystem that evolves with your goals.

More Insight. Less Black Box.

With Health Catalyst, you don’t just get models—you get measurable results and a clear path forward. We help make AI a trusted tool for improvement, not a mystery to manage.

Talk to an Expert

Start Fast with Proven Models

Launch quickly with pre-built models for high-value use cases.

  • Out-of-the-box models for readmits, ED use, risk, and more.
  • Calibrated for healthcare population patterns.
  • Adaptable to your organization’s needs.

Result: Faster time to value with less development overhead.

Govern and Monitor with Confidence

Track, validate, and refine your AI tools over time.

  • Role-based access and version control.
  • Bias detection and model fairness audits.
  • Performance dashboards and alerting.

Result: Reliable, responsible AI that you can trust at scale.

Align AI with What Matters Most

Prioritize efforts that support your organization’s strategic goals.

  • Identify key clinical and financial use cases.
  • Engage stakeholders in development and rollout.
  • Measure and communicate real-world results.

Result: Smarter investments that lead to sustainable improvement.

Why Health Catalyst?

Most AI efforts focus on building models. Our approach delivers real-world impact—embedding intelligence into workflows, aligning with strategic goals, and ensuring AI earns trust across the enterprise.
Talk to an Expert
Combines healthcare-specific features with explainable, transparent modeling.
Embeds predictive insights directly into EHRs, dashboards, and care pathways.
Centralizes model deployment, monitoring, and governance for consistency and scale.
Delivers proven results across clinical, operational, and financial use cases.

What Implementation
Looks Like

Phase 1: Identify and Launch

  • Prioritize use cases and model selection.
  • Configure prebuilt models or build custom ones.
  • Define outputs, triggers, and users.

Phase 2: Deploy and Embed

  • Integrate AI into workflows and dashboards.
  • Train users and refine interventions.
  • Monitor adoption and initial impact.

Phase 3: Optimize and Scale

  • Evaluate outcomes and calibrate as needed.
  • Extend to new departments and goals.
  • Build internal capacity for future AI development.

Proven Outcomes

View All