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Olli Korhonen, Vasiliki Mylonopoulou, and Guido Giunti. 2020. Emerging personalization elements in health service delivery: a case study in the finnish primary healthcare. In Proceedings of the 23rd International Conference on Academic Mindtrek (AcademicMindtrek ’20). Association for Computing Machinery, New York, NY, USA, 37–44. DOI:https://doi.org/10.1145/3377290.3377295

Emerging personalization elements in health service delivery : a case study in the Finnish primary healthcare

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Author: Korhonen, Olli1; Mylonopoulou, Vasiliki2; Giunti, Guido1
Organizations: 1M3S, University of Oulu, Oulu, Finland
2University of Gothenburg, Gothenburg, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202003178289
Language: English
Published: Association for Computing Machinery, 2020
Publish Date: 2020-03-17
Description:

Abstract

Healthcare emphasizes the importance to treat each healthcare user as a unique individual. This paper reports a case study, where we asked healthcare professionals to rationalize their work practices and the role of information technology (IT) once they meet with a healthcare user seeking for help. In the interviews with the healthcare professionals, aspects of personalization elements emerged without being prompted. We analyzed these emerging elements and categorized them thematically to provide insights to the technology-driven field of personalization with a service-level perspective. Our results provide understanding that can be used in the design of IT solutions that can support personalization of services in healthcare.

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ISBN Print: 978-1-4503-7774-4
Pages: 37 - 44
DOI: 10.1145/3377290.3377295
OADOI: https://oadoi.org/10.1145/3377290.3377295
Host publication: AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek, January 29-30, Tampere, Finland
Conference: International Conference on Academic Mindtrek
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Case Study
Healthcare
Personalization
Service Design
Article
Copyright information: © 2020 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek, January 29-30, Tampere, Finland, https://doi.org/10.1145/3377290.3377295.