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.
Listen to the podcastOur 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
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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