18 Jun PODCAST: AI in Healthcare – Progress, Problems, and Practical Solutions

In our latest Advancing Healthcare Through Data podcast episode, Mark Coetzer, VP of Business Development at IMAT Solutions, joins us to break down one of the most talked-about and hyped-up topics in healthcare today, which is Artificial Intelligence (AI).

AI is reshaping healthcare, from clinical decision support to patient engagement and even wearables. However, the true challenge isn’t building AI models, it’s getting access to the clean, complete, and integrated data that fuels them.

Despite growing excitement around AI, many health systems still struggle with fragmented data sources, inconsistent standards, and legacy systems that weren’t built for modern interoperability.

In this episode, we explore how to overcome those challenges, and how platforms such as IMAT Intelligence are paving the way for smarter, data-driven healthcare.

Following are key highlights from this interview:

• Why AI adoption is accelerating in healthcare, and what’s driving it. (:55)
• Why data quality and integration remain the top barriers to success. (1:54)
• How IMAT Intelligence solves common data ingestion and normalization hurdles. (3:53)
• From FHIR APIs to real-time orchestration, breakdown of IMAT Intelligence’s architecture. (4:45)
• The timeline for seeing results and AI-driven insights. (6:04)
• Why starting with a smart data strategy is key to scaling AI in healthcare. (7:21)

We’d like to thank Mark for joining us and offering such a practical, honest perspective on what it takes to make AI work in healthcare!

Interested in accelerating your AI initiatives? Contact us today to learn how IMAT Intelligence can help you unify, clean, and activate your data, all while meeting the highest standards of security and compliance.