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Podcast: How do AI applications improve healthcare at HUS Helsinki University Hospital?

The biggest challenge is to divide your attention between so many important data projects, says Miika Leminen, who leads AI and Analytics development at HUS.

Data Insiders / March 17, 2022
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HUS Helsinki University Hospital puts new AI models into production every month, if not even weekly. They are among the leading hospitals in the world using data, leveraging the most innovative solutions in the healthcare industry.

Our podcast guest Miika Leminen and his team are constantly validating new project initiatives with the stakeholders. Which ones will best fulfill the clinical users’ needs and save the most resources and human lives? How to balance the availability and security of sensitive healthcare data?

Listen to the new Data Insiders episode to learn more!


Miika Leminen leads AI and analytics development at HUS Helsinki University Hospital. His team is developing the most progressive AI solutions for demanding clinical use and healthcare process automation, taking advantage of enormous digital data capital collected digitally over the decades.

Read also the related article: 4 tips for successful AI development in healthcare

Episode highlights

3:11 Examples of AI use: Replacing manual processes, supporting clinical work

5:14 How the project prioritization starts: Calculating the benefits

9:35 Involving the users in the new projects from early on

13:08 From proof-of-concept to production – best tips?

15:12 Ethics in medical AI development

16:52 Data lake solution at HUS: Managing quantity and quality

20:40 How to work with sensitive data without compromising analytical capabilities?

27:35 Question for our next guest, Olof Granberg from ICA


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