The AI Arms Race in Healthcare: How Orthopedic Groups Are Fighting Back
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Listen on Apple PodcastsAI is changing healthcare faster than ever, but are providers keeping up?
In this episode of Healthcare Intelligence, Charlene Wang sits down with John Reynolds, CEO of the Bone and Joint Institute of Tennessee, to discuss how healthcare organizations can successfully adopt AI across scheduling, operations, prior authorization, revenue cycle, and patient access.
John shares lessons from more than 30 years in healthcare leadership, including:
- Why most technology projects fail
- How to get physicians and staff to embrace AI
- The growing "AI arms race" between providers and payers
- Using AI to improve prior authorization and reduce denials
- What healthcare leaders should focus on before buying new technology
If you're leading a physician group, health system, ASC, or revenue cycle team, this conversation offers practical insights on navigating healthcare's next transformation.
About the guest
John Reynolds
John Reynolds, MBA, FACMPE is Chief Executive Officer of the Bone and Joint Institute of Tennessee, one of the region's leading orthopaedic and musculoskeletal healthcare organizations. With more than three decades of healthcare leadership experience, he's known for aligning physicians, operations, technology, and growth to build high-performing organizations.
As CEO, Reynolds leads an orthopaedic platform of more than 100 providers and over 325 employees across its Franklin, Tennessee campus and multiple regional satellite locations. He's widely recognized for his leadership in artificial intelligence, value-based care, and physician enterprise development, positioning the Institute as a national leader in applying AI within specialty healthcare.
That work earned the Bone and Joint Institute the 2025 Innovator of the Year Award from the American Alliance of Orthopaedic Executives. A Fellow of the American College of Medical Practice Executives, Reynolds holds an MBA from William Carey University, completed Executive Healthcare Leadership training at the Harvard T.H. Chan School of Public Health and advanced Agentic AI studies through the Harvard Data Science Initiative, and is a past President of MGMA's Financial Management Society.