M
Martin Wiesner
Researcher at Heilbronn University
Publications - 24
Citations - 585
Martin Wiesner is an academic researcher from Heilbronn University. The author has contributed to research in topics: eHealth & Health care. The author has an hindex of 8, co-authored 23 publications receiving 382 citations.
Papers
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Journal ArticleDOI
Health recommender systems: concepts, requirements, technical basics and challenges
Martin Wiesner,Daniel Pfeifer +1 more
TL;DR: This article gives an introduction to health recommender systems and explains why they are a useful enhancement to PHR solutions and outlines an evaluation approach for such a system, supported by medical experts.
Journal ArticleDOI
Barriers and Facilitators to the Implementation of eHealth Services: Systematic Literature Analysis
Björn Schreiweis,Monika Pobiruchin,Veronika Strotbaum,Julian Suleder,Martin Wiesner,Björn Bergh +5 more
TL;DR: Addressing barriers early, and leveraging facilitators during the implementation, can help create eHealth services that better meet the needs of users and provide higher benefits for patients and caregivers.
Proceedings ArticleDOI
Adapting recommender systems to the requirements of personal health record systems
Martin Wiesner,Daniel Pfeifer +1 more
TL;DR: A ranking procedure based on the health graph is outlined which enables a match between entries of aPHR system and health information artifacts and this way a PHR user will obtain individualized health information he might be interested in.
Journal ArticleDOI
Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study.
TL;DR: Under real-world conditions, GPS-enabled devices, especially sport watches and mobile phones, were found to be accurate in terms of recorded course distances.
Journal ArticleDOI
Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study
TL;DR: To shed light on motivational and privacy aspects of wearable technology used by healthy, active citizens, a questionnaire was designed to assess what wearable technology is used by runners of different ages and sex and whether age, sex, or course distance were associated with device use.