AI in healthcare seems to be a hot topic of discussion around the world at the moment, but what progress has been made in terms of adoption in clinical routine?
“Improving our diagnostic and treatment processes has always been the fundamental basis of our thinking and we have welcomed AI,” Miikka Korja, chief information officer and cerebrovascular neurosurgeon at the Helsinki University Hospital in Finland, explains in an interview for the second issue of the HIMSS Insights eBook.
The hospital has a number of AI projects ongoing, with solutions generated for critically ill preterm infants, brain trauma patients and brain haemorrhage patients, and the CIO says they have been taking a “unique approach” to adapting AI solutions in daily practice.
“Many hospitals all over the world buy AI solutions from big or small vendors, whereas we have our own hospital AI team, which, together with top-level clinical specialists and major AI vendors, tackle clinically relevant problems, using purely academic approaches.
“As no single company today can offer all necessary tools for creating clinically meaningful AI solutions in a wide variety of medical fields, our approach of collaborating with numerous big companies has proven to be a promising and somewhat revolutionary way.
“In brief, by creating a big bunch of in-house AI experts consisting of nurses, doctors and data scientists, we are able to conduct academic high quality AI research, and we are not dependent on products available on the market," he says.
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