AI and Healthcare Utilization

Real-World Use Cases, ROI Analysis, and Implementation Strategies

Launches November 9, 2025
Pre-enrollment: $149 (Regular price: $199)

Enroll Here

The Problem

You've seen the headlines.

AI is going to revolutionize healthcare. It's going to save billions. It's going to solve everything from burnout to inefficiency.

But when you look closer, the details are thin. The claims are vague. The business cases don't add up.

You need clarity.

You need to understand:

  • Where AI is actually being deployed right now
  • What the real ROI looks like
  • Why some tools scale and others fail
  • How to evaluate vendors and build implementation strategies

This course gives you that clarity.

What You’ll Learn

Section 1: Introduction

  • Meditations on the Patient Journey: Why this matters now
  • U.S. (Wasteful) Healthcare Spending: The $4T problem
  • How AI Works in Healthcare: ML vs NLP fundamentals
  • Levels of Automation: From basic algorithms to full autonomy

Section 2: AI Utilization Use Cases

  • Hospital AI: Clinical operations, quality & safety domains
  • Provider AI: Scheduling optimization, VBC population management
  • Private Payer AI: Prior auth, care management, FWA detection
  • Key Players: Qventus, LeanTaaS, Bayesian Health, Epic, and emerging vendors

Section 3: AI and Utilization: What's the ROI?

  • System-Wide Cost Impact: Hospitals, Physicians, and Payers

Section 4: Challenges and Path Forward

  • Challenges to Adoption
  • Conclusion: Building algorithmic stewardship into your organization

Who This Is For

  • Physicians who want to understand how AI will reshape their practice

  • Administrators evaluating AI investments for their organization

  • Healthcare leaders building AI strategies

  • Anyone tired of AI hype who wants evidence-based analysis

About Your Instructor

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Frequently Asked Questions

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