The Beat

How Agentic AI Is Changing Healthcare From Integration to Impact

Episode Summary

In this episode, host Sandy Vance and Ted Dinsmore discuss the ever-evolving role of AI in healthcare, industry trends, challenges, and solutions. They explore the concept of agentic AI and the Model Context Protocol (MCP), which aims to enhance data integration and efficiency in healthcare systems. They also highlight the importance of building trust in AI solutions, particularly in rural healthcare settings. Listen in to learn how SphereGen is addressing these challenges through innovative AI implementation approaches.

Episode Notes

In this episode, host Sandy Vance and Ted Dinsmore discuss the ever-evolving role of AI in healthcare, industry trends, challenges, and solutions. They explore the concept of agentic AI and the Model Context Protocol (MCP), which aims to enhance data integration and efficiency in healthcare systems. They also highlight the importance of building trust in AI solutions, particularly in rural healthcare settings. Listen in to learn how SphereGen is addressing these challenges through innovative AI implementation approaches.

In this episode, they talk about:

A Little About Ted:

Ted Dinsmore is the President of SphereGen Technologies, located in New Haven, Connecticut, Toronto, Canada, and Pune, India. SphereGen is a software consulting firm that develops and supports custom software solutions for clients in AI and Automation, Application Development, and Extended Reality (AR, VR, MR). His experience in the world of IT spans over 30 years.

When Ted started his first consulting firm, he became invested in developing and supporting Microsoft solutions for large multinational companies. Wanting to stay at the forefront of emerging technologies, his current company, SphereGen, embraces the world of AI/Automation and Mixed Reality (MR). SphereGen focuses on improving processes for healthcare organizations by leveraging innovative technologies, along with partners UiPath and Microsoft, to solve business problems.