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Towards a mixed reality companion to support nurses in medication management
Umeå University, Faculty of Medicine, Department of Nursing.ORCID iD: 0000-0003-1428-1950
Umeå University, Faculty of Medicine, Department of Medical and Translational Biology.ORCID iD: 0000-0002-6785-2895
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-5993-3292
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
2026 (English)In: Extended Reality: International Conference, XR Salento 2025, Otranto, Italy, June 17–20, 2025, Proceedings, Part VII / [ed] Lucio Tommaso De Paolis; Pasquale Arpaia; Marco Sacco, Cham: Springer Nature, 2026, p. 407-417Conference paper, Published paper (Refereed)
Abstract [en]

Medication management is a daily and time-consuming task for hospital nurses. It includes searching for generic substitutions in online databases when a prescribed drug is not available, and also searching for specific drugs in the actual medication room to find where it is physically located. In co-creation with stakeholders an Augmented Reality-based companion was created, which resides in a holographic device that can be worn during practice and assists nurses through a holographic, mixed reality environment, supporting the task of medication management in a comfortable way. Ethical assessment of the system, conducted using the AI4EU assessment tool, highlighted key strengths of the system and also identified areas for improvement, particularly in transparency legislative clarity. A challenge for user testing in clinical environments is that hospital medication rooms are strictly regulated. To enable future user studies a Medication Room Simulator was developed.

Place, publisher, year, edition, pages
Cham: Springer Nature, 2026. p. 407-417
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 15743
Keywords [en]
Augmented Reality, eHealth, Generic Substitution, Intelligent Companion, Software Agents
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-245848DOI: 10.1007/978-3-031-97781-7_30Scopus ID: 2-s2.0-105018912706ISBN: 978-3-031-97780-0 (print)ISBN: 978-3-031-97781-7 (electronic)OAI: oai:DiVA.org:umu-245848DiVA, id: diva2:2023537
Conference
International Conference, XR Salento 2025, Otranto, Italy, June 17–20, 2025
Available from: 2025-12-19 Created: 2025-12-19 Last updated: 2025-12-19Bibliographically approved

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Blusi, MadeleineNorberg, HelenaPersiani, MicheleNieves, Juan Carlos

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Blusi, MadeleineNorberg, HelenaPersiani, MicheleNieves, Juan Carlos
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