MGMA Insights: Optimizing Ambulatory Space Through Digital Health Transformation
Download MP3Join host Daniel Williams on the MGMA Insights Podcast as he sits down with Dr. Alpesh Amin, Associate Dean for Clinical Transformation at UCI Health. Dr. Amin previews his upcoming session at the 2025 MGMA Leaders Conference in Orlando while sharing practical strategies for leveraging digital health and virtual care. Learn how to optimize ambulatory space, improve patient access and expand clinical capacity without building new facilities.
[4:07] - Redefining Ambulatory Space Optimization
[6:30] - Implementing E-Consults for Specialist Access
[9:28] - Using Remote Monitoring to Reduce Hospital Length of Stay
[10:45] - Leveraging Parking Lot Check-ins and Virtual Platforms
[13:35] - Treating Healthcare as a Team Sport
[17:11] - Embracing Technology Across All Age Groups
[18:47] - Goal-Setting and Team Building
Resources:
[4:07] - Redefining Ambulatory Space Optimization
[6:30] - Implementing E-Consults for Specialist Access
[9:28] - Using Remote Monitoring to Reduce Hospital Length of Stay
[10:45] - Leveraging Parking Lot Check-ins and Virtual Platforms
[13:35] - Treating Healthcare as a Team Sport
[17:11] - Embracing Technology Across All Age Groups
[18:47] - Goal-Setting and Team Building
Resources:
- 2025 MGMA Leaders Conference - September 28 - October 2 in Orlando, FL - Register Here
Leaders Session: "Ambulatory Space Optimization with Digital Health Transformation" Tuesday, Sept. 30 @ 1:00 PM
- UCI Health - University of California, Irvine Health System
Additional Resources:
Email us at dwilliams@mgma.com if you would like to appear on an episode. If you have a question about your practice that you would like us to answer, send an email to advisor@mgma.com. Don't forget to subscribe to our network wherever you get your podcasts.
This episode is sponsored by ModMed.
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Every denied claim costs time and money to rework — for care you’ve already delivered. While payers sharpen their own AI tools, ModMed RCM Services pairs seasoned billing specialists with AI designed to help flag claims at risk before they go out the door, so your team can fix issues upfront instead of appealing after the fact. Learn more here.
