Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

DeviceTalks Podcast Network

How GE HealthCare Is Tackling Data Overload and Clinician Burnout

31 Oct 2025

Description

In this episode of DeviceTalks Weekly, Scott Miller, CEO of GE HealthCare’s Solutions for Enterprise Imaging, joins Managing Editor Kayleen Brown to explore how cloud technology and AI are transforming medical imaging. Miller discusses the launch of Genesis, GE HealthCare’s cloud-native imaging platform that enables secure data access, reduces clinician burnout, and improves efficiency across health systems. Together, they look ahead to a future of smarter, more connected care—where technology expands access, enhances collaboration, and supports truly personalized medicine for patients everywhere. But we’ll start off with MassDevice Editor Chris Newmarker’s Newsmakers – Zimmer Biomet, Tandem, Petal Surgical, Medline, Medtronic and the GREAT COMMONWEALTH of Massachusetts. Thank you for listening to DeviceTalks Weekly! *** Enjoy the show? Follow us on YouTube.com/@DeviceTalks to ensure you never miss an episode. Want access to the complete DeviceTalks Podcast Network (DTPN)? Follow us today at https://devicetalks.castos.com/subscribe Chapters (00:02:30) - Introducing this week’s keynote(00:08:56) - Zimmer Biomet wins FDA breakthrough nod for first iodine-treated hip replacement system(00:10:56) - Tandem launches t:slim X2 pump with Abbott FreeStyle Libre 3 Plus(00:13:15) - Incisionless surgical robotic tech startup Petal Surgical emerges from stealth with $10M Series A(00:15:30) - Medline officially files for IPO(00:17:12) - Medtronic gains millions in tax incentives for Massachusetts expansion(00:21:32) - Scott Miller, CEO of GE HealthCare’s Solutions for Enterprise Imaging

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.