Webinar: The Intelligent Medical Fitness Facility
Artificial intelligence is no longer a future consideration for medically integrated fitness facilities — it is a present operational reality. Yet the AI conversation in fitness has largely been aimed at commercial gyms, leaving medical fitness directors without a framework tailored to their distinct environment: physician-referred populations, chronic disease programming, clinical compliance requirements, and a patient journey where disengagement has consequences beyond a cancelled membership.
This session addresses that gap directly. Drawing on operational data from medically integrated facilities and practical applications already in use, we examine how AI is being adopted across the three core functions of a medical fitness operation — clinical program adherence and patient engagement, administrative workflow and staffing efficiency, and the evaluation and implementation of AI tools within a healthcare-adjacent environment.
This is not a technology sales session. It is a practical, evidence-informed look at what AI can and cannot do in your facility — and how to make sound decisions about where and how to adopt it.
Learning Objectives
1. Clinical-Fitness Engagement: Identify at least three ways AI can support patient engagement and adherence in a medically integrated fitness setting, including monitoring behavioral signals relevant to physician-referred and chronic disease populations.
Why this works for Medical Fitness: It directly addresses the unique retention challenge in medical fitness — patients are not discretionary gym members. Adherence has clinical consequences. AI's ability to monitor engagement patterns is more meaningful here than in a standard club.
2. Operational Efficiency Without Compromising Care Standards: Describe how AI-powered workflow automation — including lead response, scheduling, and billing recovery — can reduce administrative burden on clinical fitness staff while maintaining compliance with healthcare-adjacent operational standards.
Why this works for Medical Fitness: Medical fitness facilities are often under-resourced administratively, with clinical staff pulled into operational tasks. This objective addresses the "free your staff to do clinical work" argument, which lands very differently in this setting than in a commercial gym.
3. Evaluation Framework for AI Adoption: Apply a structured framework for evaluating AI tools in a medical fitness context, including criteria for data integration, clinical appropriateness, staff training requirements, and alignment with facility certification and accreditation standards.
Speaker: Dheeraj Koneru, Founder/SVP at Zenoti
This webinar is sponsored by Zenoti, an MFA Industry Partner.
Dheeraj Koneru co-founded Zenoti, bringing a strong blend of technology innovation and strategic business acumen. Dheeraj has led Zenoti's global expansion efforts, successfully extending the company's footprint into new regions and verticals such as fitness and gym management. His deep understanding of the wellness industry's operational challenges comes from his earlier experience managing Latitudes Health Club and Tangerine Spas, as well as co-founding Intelliprep Technologies, later merged with Click2Learn. Dheeraj holds a Ph.D. in Particle Physics from Cornell University and previously held leadership roles at SumTotal Systems and Microsoft.