Brett Stuebinger says


Healthcare and technology have fully merged in the 21st century. With technology also comes the ability to collect and analyze data, which can then impact patient care. On today’s podcast, we’re talking to Brett Stuebinger, Director of Sourcing for TPC, an organization that helps community-based health systems achieve large-system value.

When asked about the current state of IT in healthcare, Brett defined it in one word—complex. “Technology has been integrated into healthcare in many applications. This has driven the need for hospitals to improve their IT infrastructure while also balancing costs. Data is what is driving the investment. It enables cost-effective healthcare,” Stuebinger said.

The influx of AI-enabled technology in healthcare is becoming more prevalent. There have been some bumps in the road with products not delivering what was expected. However, that’s changing, and investment is booming. “Data in healthcare is about having the right information in a timely manner so that clinicians can make the best decisions for patient care. AI is enabling this, and we are seeing our community hospitals respond to this, so it’s not just the large hospitals using this technology,” Stuebinger said.

So how can AI and the data surrounding it be leveraged to help patients? Brett spoke about one example, reducing the length of stay. Brett said, “One big challenge that providers need to solve is reducing the length of stay. Hospitals are investing in technology to impact this. With lots of data coming from many sources, AI can read unstructured data and look for correlations. This can offer clinicians the ability to intervene early because early warning indicators can be sourced.”

Learn more about AI, data, cybersecurity, and healthcare IT needs by listening to the podcast.

For the latest news, videos, and podcasts in the Healthcare Industry, be sure to subscribe to our industry publication.

Follow us on social media for the latest updates in B2B!

Twitter – @HealthMKSL
Facebook –
LinkedIn –