Developing Solutions For Healthcare : Deploying Artificial Intelligence to an Evolving Target
Ala-Kitula, A., Talvitie-Lamberg, K., Tyrväinen, P., & Silvennoinen, M. (2017). Developing Solutions For Healthcare : Deploying Artificial Intelligence to an Evolving Target. In H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, Q.-N. Tran, & M. Q. Yang (Eds.), CSCI'17 : Proceedings of the 4th International Conference on Computational Science & Computational Intelligence (pp. 1637-1642). IEEE Computer Society. https://doi.org/10.1109/CSCI.2017.285
Päivämäärä
2017Tekijänoikeudet
© IEEE, 2017.
—The pace of deploying artificial intelligence (AI)
techniques to healthcare has been speeding up. Many of the
initiatives have been technology driven aiming at finding problems
matching the new technology while systematic, demand driven
search for solutions has been limited. Here we describe the process
of identifying opportunities for deploying artificial intelligence to
healthcare and social services on regional and national levels in
Finland. The process includes idea generation and elaboration
using a design thinking method complemented with architectural
design for identifying required AI capabilities for the 34 best use
cases. In this paper, we focus on the development of use case
“Mobile Solution for Home Care Coordination and
Communication” to observe the evolving balance of technology
push and demand pull faced in the process.
Julkaisija
IEEE Computer SocietyEmojulkaisun ISBN
978-1-5386-2652-8Konferenssi
International Conference on Computational Science and Computational IntelligenceKuuluu julkaisuun
CSCI'17 : Proceedings of the 4th International Conference on Computational Science & Computational IntelligenceAsiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/27844308
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Identifying Opportunities for AI applications in Healthcare : Renewing the National Healthcare and Social Services
Tyrväinen, Pasi; Silvennoinen, Minna; Talvitie-Lamberg, Karoliina; Ala-Kitula, Anniina; Kuoremäki, Reija (IEEE, 2018)A vast variety of artificial intelligence techniques have been deployed to specific healthcare problems during the last thirty years with varying levels of success while there is a shortage of systematic matching of AI ... -
Design Systems for Intelligent Technology
Myllylä, Mari; Karvonen, Antero; Koskinen, Hanna (AHFE international, 2024)Intelligent technology seems poised to emerge with unprecedented force across many domains of human activity. Advanced technologies (e.g. artificial intelligence (AI)–based applications and services) hold great promise to ... -
A Multiple Case Study of Artificial Intelligent System Development in Industry
Nguyen-Duc, Anh; Sundbø, Ingrid; Nascimento, Elizamary; Conte, Tayana; Ahmed, Iftekhar; Abrahamsson, Pekka (ACM, 2020)There is a rapidly increasing amount of Artificial Intelligence (AI) systems developed in recent years, with much expectation on its capacity of innovation and business value generation. However, the promised value ... -
Data Analytics in Healthcare : A Tertiary Study
Taipalus, Toni; Isomöttönen, Ville; Erkkilä, Hanna; Äyrämö, Sami (Springer Science and Business Media LLC, 2023)The field of healthcare has seen a rapid increase in the applications of data analytics during the last decades. By utilizing different data analytic solutions, healthcare areas such as medical image analysis, disease ... -
Autonomous maritime ecosystem : digital concepts and business case : results from the JYU TJTSM54 course on advanced topics on systems development
Impiö, Johannes; Risku, Juhani; Kollanus, Sami; Vakkuri, Ville; Kemell, Kai-Kristian; Kultanen, Joni; Himmanen, Joonas; Abrahamsson, Pekka (2019)
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.