Sep 30, 2025Revenue Cycle Optimization Webinar Series – Part 5
RegisterSept. 30 | Noon – 1 p.m.
Working Smarter Together: OHA Revenue Cycle Optimization Webinar Series
Part 5 – AI-Driven Insights: Unlocking Efficiency in Health Care Revenue
Join OHA for a 12-part webinar series designed to help members transform revenue cycle performance through innovative strategies, advanced technology and smarter operations.
Each session is designed to provide practical takeaways that you can apply directly within your organization to improve efficiency, strengthen financial resilience, and deliver better patient outcomes. See each session description below for the specific to be covered.
Overview
Gain valuable insights into Quadax’s intuitive dashboard solutions, offering a comprehensive overview of your financial performance, and discover how to leverage machine learning to utilize predictive-based workflows that empower you to optimize operations and drive sustainable growth for your organization.
Learning Objectives:
- Understand the role of AI and Machine Learning (ML) in transforming healthcare revenue cycle management (RCM).
- Identify the challenges and opportunities in implementing a scalable data science and AI strategy within healthcare organizations.
- Understand how to turn AI & ML concepts into practical revenue cycle improvements.
- Recognize common barriers to scalable data science in RCM.
Who Should Attend
OHA member hospital CEOs, COOs, CFOs, CIOs, in-house counsel, hospital counsel, physician advisors, CMOs, CNOs, finance directors, managed care contract administrators and revenue cycle teams.
Presenters
Mike Lamoreux | Data Scientist | Quadax
Gary Sparks | Product Manager, Decision Intelligence | Quadax
CE Credits
This webinar has been approved for 1.2 CPE CE Credits and 1.0 CLE CE Credits.
Registration
This series is complimentary to all OHA members. Registration for each session is required. Each session will be approximately 45-60 minutes.
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12-Part Series
Sept. 2 | Part 1 – The Payer Trendscape: Key Trends, Findings + Signals Based on Payer Performance
Sept. 9 | Part 2 – Leveraging Data to Drive Performance
Sept. 16 | Part 3 – Implementing Artificial Intelligence and Automation to Improve Revenue Cycle Performance
Sept. 23 | Part 4 – Transforming Mid-Revenue Cycle with Intelligent Automation
Oct. 7 | Part 6 – Open Ai / ChatGPT in Health Care
Oct. 14 | Part 7 – A New Era of Healthcare Access: Digital Front Door Strategies for Patient Engagement
Oct. 21 | Part 8 – Revenue Integrity: The Clinical and Non-Clinical Perspective
Oct. 28 | Part 9 – Health Care Cybersecurity: Deploying an Enterprise Strategy and AI Governance Structure
Nov. 4 | Part 10 – Balancing The Scale: Outsourcing Vs. Insourcing in Healthcare Revenue Cycle Management
Nov. 11 | Part 11 – Finance Diversification Strategies for Health Systems to Consider
Nov. 18 | Part 12 – Health Care Mergers & Acquisitions and Strategic Investments Outlook
