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Microsoft Hololens: A mHealth Solution for Medication Adherence
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7656-350X
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation.ORCID iD: 0000-0003-1428-1950
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
2019 (English)In: Artificial Intelligence in Health: First International Workshop, AIH 2018, Stockholm, Sweden, 13-14 July, 2018, Revised Selected Papers / [ed] Koch F. et al., Springer, 2019, p. 99-115Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper is to introduce a smart mHealth application based on the augmented reality (AR)-paradigm that can support patients with common problems, related to management of their medication. This smart mHealth application is designed and implemented as a medication coach intelligent agent, called Medication Coach Intelligent Agent (MCIA). The MCIA has to manage different types of information such as the medication plan (medication regime) of the patients, medication restrictions, as well as the patient’s preferences and sensor input data from an AR-headset. Considering all this information, the MCIA leads with holistic decisions in order to offer personalized and unobtrusive interventions, in an autonomous way, to the patients. From a long-term perspective, the MCIA should also evaluate its performance over time and adapt in order to improve its interventions with the patients. To show the feasibility of our approach, a proof-of-concept prototype was implemented and evaluated. In this proof-of-concept prototype, the MCIA has been embodied as a smart augmented reality (AR)-mHealth application in the settings of a Microsoft HoloLens. The results show a high potential for using the MCIA in real settings.

Place, publisher, year, edition, pages
Springer, 2019. p. 99-115
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11326
Keywords [en]
Artificial Intelligence, Public Health, Medicine
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-159332DOI: 10.1007/978-3-030-12738-1_8Scopus ID: 2-s2.0-85062494937ISBN: 978-3-030-12737-4 (print)ISBN: 978-3-030-12738-1 (electronic)OAI: oai:DiVA.org:umu-159332DiVA, id: diva2:1318029
Conference
Artificial Intelligence in Health, First International Workshop, AIH 2018, Stockholm, Sweden, 13-14 July, 2018
Available from: 2019-05-24 Created: 2019-05-24 Last updated: 2019-06-17Bibliographically approved

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Blusi, MadeleineNieves, Juan Carlos

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