Harjumaa, M., Saraniemi, S., Pekkarinen, S. et al. Feasibility of digital footprint data for health analytics and services: an explorative pilot study. BMC Med Inform Decis Mak 16, 139 (2016). https://doi.org/10.1186/s12911-016-0378-0
Feasibility of digital footprint data for health analytics and services : an explorative case study
|Author:||Harjumaa, Marja1; Saraniemi, Saila2; Pekkarinen, Saara2;|
1VTT Technical Research Centre of Finland, P.O.BOX 1100, 90571, Oulu, Finland
2Oulu Business School, University of Oulu, P.O. BOX 4600, 90014, Oulu, Finland
3Information Technology and Electrical Engineering, University of Oulu, P.O. BOX 3000, 90014, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020040610407
|Publish Date:|| 2020-04-06
Background: As a result of digitalization, data is available about almost every aspect of our lives. Personal data collected by individuals themselves or stored by organizations interacting with people is known as a digital footprint. The purpose of this study was to identify prerequisites for collecting and using digital data that could be valuable for health data analytics and new health services.
Methods: Researchers and their contacts involved in a nationwide research project focusing on digital health in Finland were asked to participate in a pilot study on collecting their own personal data from various organizations of their own choice, such as retail chains, banks, insurance companies, and healthcare providers. After the pilot, a qualitative inquiry was adopted to collect semi-structured interview data from twelve active participants in the pilot. Interviews comprised themes such as the experiences of collecting personal data, as well as the usefulness of the data in general and for the participants themselves. Interview data was then analyzed thematically.
Results: Even if the participants had an academic background and were highly motivated to collect and use their data, they faced many challenges, such as quite long delays in the provision of the data, and the unresponsiveness of some organizations. Regarding the usefulness of the acquired personal data, our results show that participants had high expectations, but they were disappointed with the small amount of data and its irrelevant content. For the most part, the data was not in a format that would be useful for health data analytics and new health services. Participants also found that there were actual mistakes in their health data reports.
Conclusions: The study revealed that collecting and using digital footprint data, even by knowledgeable individuals, is not an easy task. As the usefulness of the acquired personal health data mainly depended on its form and usability for services or solutions relevant to an individual, rather than on the data being valuable as such, more emphasis should be placed on providing the data in a reusable form.
BMC medical informatics and decision making
|Pages:||1 - 9|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
217 Medical engineering
512 Business and management
This research has been funded by a grant from Tekes – the Finnish Funding Agency for Innovation as the part of the Digital Health Revolution Program.
© The Authors 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.