In this episode of the MGMA Business Solutions Podcast, Daniel Williams sits down with Dr. Rihan Javid to explore how medical practices can balance artificial intelligence with human expertise. Dr. Javid shares insights from his work with EDGE and Rinova AI, where he helps practices leverage remote talent and AI-powered agents to reduce costs, improve billing accuracy, and enhance patient care.
The conversation covers how AI can automate repetitive administrative tasks, the limits of technology in patient interactions, and the importance of maintaining empathy and trust in healthcare. Listeners will also hear real-world examples of AI’s role in revenue cycle management and the long-term potential of AI agents.
Key Takeaways:
- (03:27) - Introduction to Dr. Javid’s background: From law to psychiatry to healthcare operations, and how this experience informs his approach to AI in medical practices
- (06:38) - The billing challenge: Why healthcare billing is so complex and costly, and how practices struggle to retain top coding and billing staff
- (08:21) - Where AI excels vs. where humans are essential: Repetitive coding and data tasks are ideal for AI, while human interaction remains irreplaceable for patient-facing roles
- (09:35) - Defining AI agents: How AI agents simulate human workflows, log into EHRs, code notes, and reconcile payments—dramatically cutting processing times
- (13:15) - Cost savings potential: How practices can reduce billing expenses from 5% of revenue to less than 1%, saving tens of thousands of dollars per physician each year
- (15:42) - Preserving empathy and trust: Why AI cannot replace the doctor-patient relationship and the importance of human connection in healthcare
- (17:08) - Final advice for practice leaders: Adopt AI thoughtfully—integrating tools like billing agents without losing the essence of patient-centered care
Resources
