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Microsoft Hololens: A mHealth Solution for Medication Adherence
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0002-7656-350X
Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering.ORCID-id: 0000-0003-1428-1950
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-4072-8795
2019 (Engelska)Ingår i: 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, s. 99-115Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Springer, 2019. s. 99-115
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11326
Nyckelord [en]
Artificial Intelligence, Public Health, Medicine
Nationell ämneskategori
Datorsystem
Identifikatorer
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 (tryckt)ISBN: 978-3-030-12738-1 (digital)OAI: oai:DiVA.org:umu-159332DiVA, id: diva2:1318029
Konferens
Artificial Intelligence in Health, First International Workshop, AIH 2018, Stockholm, Sweden, 13-14 July, 2018
Tillgänglig från: 2019-05-24 Skapad: 2019-05-24 Senast uppdaterad: 2019-06-17Bibliografiskt granskad

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Blusi, MadeleineNieves, Juan Carlos

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