I N D U S T R Y I N V E S T I G A T I O N threat or as clumsy in terms of usability ,” commented Senior Lecturer , Paula Savolainen , from Turku University of Applied Sciences .
Data availability is a challenge
Kaartinen says that the difficulty of obtaining necessary data has significantly hampered the development of AI solutions in healthcare . Healthcare involves so much professional terminology that it is paramount to train a truly useful conversational AI with comprehensive material : authentic anonymised speech data , patient data , and other healthcare documentation .
“ As a lot of health data is already digitised , obtaining it securely for research and product development creates significant advantages . However , this has been complicated from a legal perspective . Anonymised and consentbased data would ultimately benefit all parties ,” said Kaartinen .
“ Software companies must protect their customers ’ personal information and data by legislation . The PROFIT project is developing technical solutions and operating methods that would enable data use in accordance with the law ,” added Manu Setälä , Head of Research at Solita .
In the project ’ s initial phase , AI solutions will be trained using data from nursing students ’ practice tasks and various simulated data .
Several ethical issues still must be resolved . Despite the use of AI , decision-making and responsibility remain with professionals . According to Kaartinen , AI could not , for instance , make direct entries in patient or customer records without the professional ’ s separate approval . Instead , AI could make an entry suggestion that the professional can either accept as is or with modifications . The project examines the acceptability and ethics of AI-assisted solutions from the perspectives of both nurses and customers . �
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