Interoperabilitetinom eHälsa : Enkvalitativ studie om användningen av IoT för glukosdata

Sammanfattning: This study is about interoperability in the collection and transmission of glucose data and focuses on a new eHealth technology. This technology is part of the Internet of Things (IoT) and involves interoperability in systems with sensors applied to the human body. The purpose has been to investigate the interoperability of data collection and transmission of glucose data based on the interoperability issues, how interoperability is used, and the pros and cons of different types of interoperability. A case study with six semi-structured interviews has been conducted. The analysis of the interviews has been conducted using a theoretical framework dealing with IoT and interoperability as well as a two-part interoperability model. The first part of the model has been used to analyze the occurrence of basic, functional and semantic interoperability in the collection and transmission of glucose data. The second part of the model has been used to analyze the information systems based on different maturity levels for interoperability. When collecting glucose data, there are basic, functional and to some extent semantic interoperability. When transmitting glucose data, basic and functional interoperability occur. Basic interoperability dominates here, except for one case. When collecting glucose data, messages and notifications and the automatic adjustment of medication have been identified as benefits. In the case of transmitting glucose data, the fact that respondents do not need to bring their device to caregivers and, in one case, that several users can see the glucose data collected have been identified as benefits. Some clear disadvantages have not been identified.The second part of the interoperability model has resulted in twomaturation levels for the interoperability of transmitting glucose data,"distributed organization-bound" and "integrated national".