Artificial Intelligence Applications in Finnish Healthcare
Myllylä, Jenni (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202305017031
https://urn.fi/URN:NBN:fi:amk-202305017031
Tiivistelmä
This study scanned and analyzed the usage of artificial intelligence in the field of Finnish healthcare. The purpose of this study was to map out the different artificial intelligence applications and systems, that are currently in the use of healthcare in Finland. More specifically what kind of AI applications there are, for what and by whom are they used and what is the amount of the applications. The aim of this study was to create an overall picture of the situation at the moment in order to increase understanding and knowledge of how AI is used in healthcare and how the field can benefit from the use of AI.
This study was conducted as an integrative review by using mostly qualitative methods with a sideline of quantitative approach. The results were collected during the year 2022. The study follows the Knafl and Whittemore’s (2005) five stages of integrative review; problem identification, literature research, data evaluation, data analysis and presentation. The study was done mostly by searching through the internet with Google word searches (artificial intelligence/AI, healthcare, Finland), examining the companies and service providers web pages and interviewing people who work in the health technology field.
As a result 84 applications were found. The applications were divided to different groups; chatbots and virtual assistants (21), applications designed to assist the professionals (24), applications for monitoring and surveilling (20), applications for screening in the areas of radiology and pathology (14) and robotics (3). Then these groups were compared based on the ways in which the applications were used as well as their features. Most of the applications were utilized by professionals. In these applications AI is used for assisting the professionals, for monitoring patients and for screening purposes. Especially in the monitoring and screening applications, AI is used for analyzing the results. Applications designed for patients were mostly chatbots and virtual assistants. AI has already been implemented to the use of healthcare in multiple ways and its usage is likely to increase as the technologies develop further. In the future AI has the potential to make healthcare professionals work more effective and efficient.
This study was conducted as an integrative review by using mostly qualitative methods with a sideline of quantitative approach. The results were collected during the year 2022. The study follows the Knafl and Whittemore’s (2005) five stages of integrative review; problem identification, literature research, data evaluation, data analysis and presentation. The study was done mostly by searching through the internet with Google word searches (artificial intelligence/AI, healthcare, Finland), examining the companies and service providers web pages and interviewing people who work in the health technology field.
As a result 84 applications were found. The applications were divided to different groups; chatbots and virtual assistants (21), applications designed to assist the professionals (24), applications for monitoring and surveilling (20), applications for screening in the areas of radiology and pathology (14) and robotics (3). Then these groups were compared based on the ways in which the applications were used as well as their features. Most of the applications were utilized by professionals. In these applications AI is used for assisting the professionals, for monitoring patients and for screening purposes. Especially in the monitoring and screening applications, AI is used for analyzing the results. Applications designed for patients were mostly chatbots and virtual assistants. AI has already been implemented to the use of healthcare in multiple ways and its usage is likely to increase as the technologies develop further. In the future AI has the potential to make healthcare professionals work more effective and efficient.