Future Foresight into Application of AI Technologies in the Finnish Healthcare : Outlining prospective trends of development in primary care by 2030
Anton, Kirill (2020)
Anton, Kirill
2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020061218590
https://urn.fi/URN:NBN:fi:amk-2020061218590
Tiivistelmä
Artificial Intelligence technologies are seen as one of the key drivers of future business development and there are a lot of hopes and expectations surrounding their potential application in various industries. Healthcare industry is regarded as one where AI can achieve its most potential, specifically, in preventive healthcare. This study was focused on investigating the prospective trends of development of AI technologies in the Finnish primary care by 2030.
To accomplish the set research goal, the futures foresight techniques were applied in the course of the study to discern potential futures. The research was based on the inductive reasoning and qualitative primary data was collected through 13 in-depth semi-structured interviews with the professionals from the healthcare and IT sector. Multiple Perspectives and Scenario Planning were utilized as methods of futures research.
The research findings are reflected in three Future Radars and a supporting scenario framework. Future Radars illustrate expectations of interviewees on the topic of the research in the form of associated consequences presented across three perspectives: technological, organizational, and personal. The study identified three major trends for the development of artificial intelligence technologies: integration of AI in the pre-diagnostic stage; in the process of administering diagnostics; and in the post-diagnostic stage. In each of those stages, AI can bring significant benefits to the end consumer, albeit not without major challenges that need to be resolved before the technology is adopted in the Finnish market of primary care. Implications for all stakeholders present in the industry have been considered in the analysis of the research findings. A theoretical framework for the future life cycle of AI technologies in primary care has also been proposed within the research.
To accomplish the set research goal, the futures foresight techniques were applied in the course of the study to discern potential futures. The research was based on the inductive reasoning and qualitative primary data was collected through 13 in-depth semi-structured interviews with the professionals from the healthcare and IT sector. Multiple Perspectives and Scenario Planning were utilized as methods of futures research.
The research findings are reflected in three Future Radars and a supporting scenario framework. Future Radars illustrate expectations of interviewees on the topic of the research in the form of associated consequences presented across three perspectives: technological, organizational, and personal. The study identified three major trends for the development of artificial intelligence technologies: integration of AI in the pre-diagnostic stage; in the process of administering diagnostics; and in the post-diagnostic stage. In each of those stages, AI can bring significant benefits to the end consumer, albeit not without major challenges that need to be resolved before the technology is adopted in the Finnish market of primary care. Implications for all stakeholders present in the industry have been considered in the analysis of the research findings. A theoretical framework for the future life cycle of AI technologies in primary care has also been proposed within the research.