The conversations to be had at RSNA ’25 don’t just feel different because of AI, but because of the topics surrounding how to simplify, streamline, and scale innovation. As we gear up for this year’s event, we’re eager to dive into discussions on where imaging technologies are headed and what that means for service organizations in radiology.
Along with the conversations around staff burnout, increasingly complex systems, and rising customer expectations, AI inserts an interesting aspect to the considerations of service leaders: Evolving beyond traditional models to scale intelligently and innovate in ways that deliver a competitive advantage and seamless end-user experiences.
Predictive Maintenance Powered by AI
AI has already proven its value in predictive analytics, helping anticipate equipment failures before they happen. But what’s next? At RSNA, we’re looking forward to conversations about how AI-transformed workflows will modernize service delivery models, especially through remote diagnostics and proactive maintenance. For service leaders in radiology, harnessing AI can be a game-changer throughout the product lifecycle. Predictive maintenance reduces downtime, improves customer satisfaction, and creates opportunities for data-driven service strategies.
Acquiring Technical Expertise
We’ll also be interested to hear how OEMs are acquiring the expertise to support increasingly complex, AI-enabled systems in an increasingly difficult technical labor market. Technical talent is scarce. Imaging equipment is becoming more sophisticated, integrating AI-driven diagnostics, IoT connectivity, and advanced software platforms. This complexity demands service engineers who not only understand hardware but also data science, cybersecurity, and interoperability standards. Yet, the pool of qualified professionals is shrinking.
Infrastructure Powering Infrastructure
Implementing AI is all well and good, but without the proper foundation to scale, organizations can remain stagnant at best and completely collapse at worst. So, because imaging in end-user environments are becoming more than just individual devices, but entire radiology ecosystems, OEMs need service infrastructures that can keep pace.
It will be key for service leaders to plan how to support enterprise-level interoperability while considering cybersecurity and compliance considerations for connected imaging environments. We’ll also be excited to see who, if, and how service leaders have used AI as an opportunity to evolve the service side of product management, integrating the technology into service workflows without disrupting crucial uptime.
With over 25 years of delivering consistent, high-quality service experiences on behalf of OEMs across the globe, Source recognizes and has innovated our processes to address these challenges.
Let’s Connect at RSNA ‘25
With over 20 years of experience, Source understands the value of streamlined services technology and evolving infrastructure to build and consistently enhance an OEM’s service promise. We offer the space for companies to innovate well beyond their competition while maintaining quality and customer satisfaction.
So, we look forward to diving deep into these topics and how we can support technical product manufacturers on their journey to furthering innovation. If you’re attending, we’d love to discuss how we can help you effectively scale and streamline your service organization to fulfill and exceed your service promise.
By Tom Bucinski, VP of Business Development, Source Support Services
For more information on Source’s outsourced service model, and how Source works with OEMs to augment their field service functions, please visit sourcesupport.com.