rsna top 5 podcast j diver
December 11, 2019

Podcast: Joe Diver, Director of Digital Transformation at Baystate Health

In this episode of “Top Five” we catch up with Joe Diver, Director of Digital Transformation, Baystate Health. Top Five is a podcast series recorded at RSNA.


Q: Joe, thank you for joining us fo a podcast today. Welcome to RSNA! As a first-time participant, introduce yourself to our audience. Tell us a little bit about what TechSpring does and how it works with Baystate Health.

A: Sure, happy to. My name is Joe Diver and I’m the Director of Digital Transformation for Baystate Health at TechSpring, which is the innovation center. The innovation center strives to bring new technologies to Baystate, within what we call a ‘living lab.’ So, if we look at the number of hospitals that we have, we also have a payer side, and we serve almost a million patients a year, on an annual basis. If we can look at technologies to improve care delivery and reduce the cost of care, the biggest challenge everybody is just driving for nowadays, we’re all, you know, faced with similar challenges, if you will. But, the unique thing about TechSpring is that we bring out folks around the table that are frontline users to help to develop and deploy new technologies to deliver a new level of care for our community.  

With the partnership of Life Image, Life Image has been a partner of Baystate for almost 11 years now. We were discussing our innovation partnership with Life Image, we saw a great opportunity to begin to co-develop AI and leverage the Life Image platform for that AI around a couple of different categories. When I approached physicians and providers about that opportunity they leaned in to say, let’s go ahead and collaborate together and figure this out for our community at Baystate and then how can that replicate to other facilities across the country. 


Q: Is this the first innovation project that you’ve worked on that’s imaging-based, and why is that an important intersection at this point in healthcare? 

A: That’s a great question. It is the first innovation from an imaging perspective for TechSpring and for Baystate. One of the things that really intrigued me at the beginning of the conversation was around how do we improve diagnostic decisions and prevent delay in diagnostic decisions. That became intriguing along the way as I talked to providers about different use cases. If they could leverage AI differently, what would the use case be and that’s really what it came down to for us. How can I make more improved decisions with surface and data that I may not be privy to about the history of a patient, or about the history of a patient’s family, what things of that nature, and what data elements will help me make a better decision? It’s really was intriguing by the provider side, they can really improve care as well. 


Q: Can you talk about some of the use cases or programs that you might be exploring in order to improve patient outcomes?

A: Sure. One of the first ones is really patient compare. If we see a patient that has certain conditions, how can we compare that patient to a number of other patients that have been seen in either our community or other communities? Leveraging de-identified data to then be able to surface additional information for the provider, say patients like this one have had these experiences with these outcomes along the way, there’s a little bit of new information for you to consider. That’s one, the other one is around stroke AI. How can we improve stroke clinical processes for our community hospitals? How can we really identify the patients that need to come in for the tertiary care versus those that could be treated at the local community hospital? Then we begin to expand that to other organizations within our area.

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