Abstract

In this study, we analyze how a telemedicine system can be used in health service personalization. Telemedicine refers to the use of ICT to deliver health services at a distance. Through a case study, we identify and analyze how a telemedicine system used as a monitoring platform supporting home-based self-measurement of various parameters of Asthma and Diabetes, and measurement of International Normalized Ratio (INR) and Hypertension can support personalization of health service pathways. In our qualitative analysis, we analyzed personalization in the service level and identified three different roles the telemedicine system plays for health service personalization: generating user data, detecting anomalies, and supporting interaction. The results provide insight on the role of information systems in service level personalization.

Recommended Citation

Korhonen, O., Väyrynen, K., & Isomursu, M. (2018). Analyzing the Role of a Telemedicine System in Health Service Personalization. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University. ISBN: 978-91-7753-876-9. http://aisel.aisnet.org/isd2014/proceedings2018/eHealth/3.

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Analyzing the Role of a Telemedicine System in Health Service Personalization

In this study, we analyze how a telemedicine system can be used in health service personalization. Telemedicine refers to the use of ICT to deliver health services at a distance. Through a case study, we identify and analyze how a telemedicine system used as a monitoring platform supporting home-based self-measurement of various parameters of Asthma and Diabetes, and measurement of International Normalized Ratio (INR) and Hypertension can support personalization of health service pathways. In our qualitative analysis, we analyzed personalization in the service level and identified three different roles the telemedicine system plays for health service personalization: generating user data, detecting anomalies, and supporting interaction. The results provide insight on the role of information systems in service level personalization.