AI hype vs. reality in health care billing

EP: 1.Using Your Data to Drive Practice Optimization & Growth

EP: 2.Mastering Revenue Cycle Management: In-House Versus Outsourcing

EP: 3.The Medical Malpractice Market: What MPL Consumers Need to Know and Understand

EP: 4.Creating a Practice Culture of Self-Care, Prevention and Well-being

EP: 5.The Changing Alzheimer’s Treatment Landscape - how to prepare your practice

EP: 6.Preventing coding denials

EP: 7.Tips for dealing with prior authorizations

EP: 8.Opening a new practice

EP: 9.Contract negotiation best practices for physicians

EP: 10.Building practice growth through business credit cards

EP: 11.What to do when your practice is an acquisition target

EP: 12.Find the hidden gems in your Medicare billing: Under-used codes that can generate revenue

EP: 13.Unlocking financial independence: Strategies to help doctors retire on their own terms

EP: 14.How to increase the power of your individual and group disability programs

EP: 15.How CareCredit Can Help Minimize Administrative Burden that Can Contribute to Staff Burnout

EP: 16.Navigating Social Media in Health Care

EP: 17.Inside the 95th Physician Report: Exclusive data on Practice Finance, Salaries, and More

EP: 18.Identifying Revenue Leakage in Your Organization

EP: 19.Beyond the malpractice basics: Occurence, claims-made and tail insurance explained

EP: 20.Rowing together: How to rally your team to achieve practice goals

EP: 21.Unlocking audit-proof revenue: Insider secrets for E&M excellence

EP: 22.High-impact KPIs for revenue improvement: What to track and how to fix it

EP: 23.Navigating hidden costs in your practice: Strategies for financial stability and quality care in 2025

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EP: 24.AI hype vs. reality in health care billing

EP: 25.Hot button tips from a health care lawyer

Artificial intelligence (AI) won’t solve bad workflows — but it can help optimize good ones. In “AI hype vs. reality in health care billing,” part of Medical Economics’ June 2025 Practice Academy, Doug Marcey, chief technology officer of Coronis Health, explains how artificial intelligence and automation can take repetitive, error-prone tasks off staff plates and improve revenue cycle performance.

Marcey walks through practical AI use cases across the RCM process, including eligibility checks, charge capture, denial analysis, coding support and patient collections. But to get results, he cautioned, practices need to start with clean data and clearly mapped processes. Automating a broken system only scales the problems.

Instead, he encouraged leaders to pinpoint bottlenecks and inefficiencies, then apply automation strategically — with oversight and quality checks in place. AI isn’t about replacing staff, but empowering them to spend less time on routine work and more time on what matters.

About the presenter

Doug Marcey, chief technology officer, Coronis Health

Doug Marcey joined Coronis Health in 2023, having served as CTO of the MiraMed family company Plexus Technology Group since 2016. Mr. Marcey leads our IT teams to provide the technology needed to support the Coronis mission, including stable infrastructure, flexible cloud computing, powerful custom software, and innovative automation and machine learning platforms. Mr. Marcey has had a diverse background across a number of verticals, including government/defense contracting, entertainment, financial institutions, and NGOs. He started his career in healthcare technology as an NIH contractor in 2004 and has been working on EMR/EHR and RCM solutions since 2006. He studied computer science, and artificial intelligence at George Mason University.