Treffer: Usability Test for a Smart Glass-Based Application to Support Nurses' Hospital Admission Tasks.
Title:
Usability Test for a Smart Glass-Based Application to Support Nurses' Hospital Admission Tasks.
Authors:
Source:
Computers, informatics, nursing : CIN [Comput Inform Nurs] 2026 Jan 01; Vol. 44 (1). Date of Electronic Publication: 2026 Jan 01.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 101141667 Publication Model: Electronic Cited Medium: Internet ISSN: 1538-9774 (Electronic) Linking ISSN: 15382931 NLM ISO Abbreviation: Comput Inform Nurs Subsets: MEDLINE
Imprint Name(s):
Original Publication: Hagerstown, MD : Lippincott Williams & Wilkins, c2002-
MeSH Terms:
References:
Ministry of Health, Labour and Welfare. Materials for the 12th Subcommittee on Nursing Personnel Supply and Demand. Ministry of Health, Labour and Welfare Web site. https://www.mhlw.go.jp/stf/newpage_07437.html . Published 2019.
Recio-Saucedo A, Dall'Ora C, Maruotti A, et al. What impact does nursing care left undone have on patient outcomes? Review of the literature. Journal of Clinical Nursing. 2018;27(11–12): 2248–2259.
Needleman J, Shekelle PG. More ward nursing staff improves inpatient outcomes, but how much is enough? BMJ Quality and Safety. 2019;28(8): 603–605.
Dall'Ora C, Griffiths P, Ball J, Simon M, Aiken LH. Association of 12 h shifts and nurses' job satisfaction, burnout and intention to leave: findings from a cross-sectional study of 12 European countries. BMJ Open. 2015;5(9): e008331.
Caruso CC. Negative impacts of shiftwork and long work hours. Rehabilitation Nursing. 2014;39(1): 16–25.
Rouleau G, Gagnon MP, Côté J, et al. Impact of information and communication technologies on nursing care: results of an overview of systematic reviews. Journal of Medical Internet Research. 2017;19(4): e122.
Jean ES, Gunilla CN, Göran IP, et al. Nurses' experience of using electronic patient records in everyday practice in acute/inpatient ward settings: a literature review. Health Informatics Journal. 2010;16(1): 63–72.
Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. P&T: A Peer-Reviewed Journal for Formulary Management. 2014;39(5): 356–364.
Kagawa S, Iijima S. Considerations of shortening hospitalization work time by video analysis: clinical use of smart glasses. Japanese Journal of Nursing Art and Science. 2021;20: 96–105.
Mitrasinovic S, Camacho E, Trivedi N, et al. Clinical and surgical applications of smart glasses. Technology and Health Care. 2015;23(4): 381–401.
Follman A, Ohligs M, Hochhausen N, et al. Technical support by smart glasses during a mass casualty incident: a randomized controlled simulation trial on technically assisted triage and telemedical app use in disaster medicine. Journal of Medical Internet Research. 2019;21(1): e11939.
Wuller H, Behrens J, Klinker K, et al. Smart glasses in nursing—situation change and further usages exemplified on a wound care application. Studies in Health Technology and Informatics. 2018;253: 191–195.
Kim SK, Lee Y, Yoon H, Choi J. Adaptation of extended reality smart glasses for core nursing skill training among undergraduate nursing students: usability and feasibility study. Journal of Medical Internet Research. 2021;23(3): e24313.
Jan P, Daniel W, Katrin B. Smart glasses as supportive tool in nursing skills training. 2018. https://www.researchgate.net/profile/Jan-Kopetz/publication/326199989_Smart_Glasses_as_Supportive_Tool_in_Nursing_Skills_Training/links/5b44902ca6fdcc6619145c4d/Smart-Glasses-as-Supportive-Tool-in-Nursing-Skills-Training.pdf.
Sun KK, Youngho L, Hyoseok Y, et al. Adaptation of extended reality smart glasses for core nursing skill training among undergraduate nursing students: usability and feasibility study. Journal of Medical Internet Research. 2021;23(3).
Hyoseok Y, Sun KK, Youngho L, et al. Google Glass–supported cooperative training for health professionals: a case study based on using remote desktop virtual support. Journal of Multidisciplinary Healthcare. 2021;14: 1451–1462.
Ministry of Health, Labour and Welfare. Survey on the standardization trends of medical information in foreign countries. Ministry of Health, Labour and Welfare Web site. 2019. https://www.mhlw.go.jp/content/10808000/000685914.pdf.
Nielsen J, Landauer TK. A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems. New York, NY: Association for Computing Machinery; 1993: 206–213.
Hanna S, Liyuan Z, Leif H, et al. Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations. JMIR Medical Informatics. 2015;3(2).
Tobias H, Farah M, Enrico C. Efficiency and safety of speech recognition for documentation in the electronic health record. Journal of the American Medical Informatics Association. 2017;24(6): 1127–1133.
Yen P, Bakken S. Review of health information technology usability study methodologies. Journal of the American Medical Informatics Association. 2012;19(3): 413–422.
Hwayoung C, Po-Yin Y, Dawn D, et al. A multi-level usability evaluation of mobile health applications: a case study. Journal of Biomedical Informatics. 2018;86: 79–89.
Cakir MG, Basoglu AN, Daim M. Exploring adoption of smart glasses: applications in medical industry. In: Proceedings of PICMET '16: Technology Management for Social Innovation. Honolulu, HI: Institute of Electrical and Electronics Engineers; 2016: 3175–3184.
Frederic E, Thomas W, Jonathan J, et al. A mobile app (BEDSide mobility) to support nurses' tasks at the patient's bedside: usability study. JMIR mHealth and uHealth. 2018;6(3).
Kai K, Julia O, Manuel W. Conceptualizing passive trust: the case of smart glasses in healthcare. In: Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm & Uppsala, Sweden: Association for Information Systems; 2019: 1-13.
Lewis JR. The system usability scale: past, present, and future. International Journal of Human-Computer Interaction. 2018;34(7): 577–590.
Sauro J, Lewis JR. Quantifying the User Experience: Practical Statistics for User Research. 2nd ed. Cambridge, MA: Morgan Kaufmann; 2016.
Ali EO, Nuri AB, Tugrul D. Exploring the design factors of smart glasses. In: Proceedings of the Portland International Conference on Management of Engineering and Technology (PICMET). Portland, OR: Institute of Electrical and Electronics Engineers (IEEE); 2015: 1657–1664.
Tarja H, Anu-Marja K, Kia G, et al. The association between using a mobile version of an electronic health record and the well-being of nurses: cross-sectional survey study. JMIR Medical Informatics. 2021;9(7).
Ying-Chao T, Chun-Yen H, Han-Yu W. User-defined game input for smart glasses in public space. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). New York, NY: Association for Computing Machinery; 2015: 3327–3336.
Lik-Hang L, Pan H. Interaction methods for smart glasses: a survey. IEEE Access. 2018;6: 28712–28732.
Franco J, Cabral D. Augmented object selection through smart glasses. Paper presented at the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services; Florence, Italy; September 6-9, 2016.
Mojarrad M, Clément C, Orsat S, et al. Mobile phones of hospital workers: a potential reservoir for the transmission of pathogenic bacteria. African Journal of Clinical and Experimental Microbiology. 2022;23(4): 407–441.
Gianluca P, Silvio S, Giuseppe M, et al. Smartphone use in nursing population: a narrative review. Professioni Infermieristiche. 2017;70(2): 102–115.
Deborah LM, Sandra AL. Personal communication device use by nurses providing in-patient care: survey of prevalence, patterns, and distraction potential. JMIR Human Factors. 2017;4(2): e10.
Christine AC, Diane LC, Ann CH, et al. Bedside information technology to support patient-centered care. International Journal of Medical Informatics. 2012;81(7): 442–451.
De Jong A, Donelle L, Kerr M. Nurses' use of personal smartphone technology in the workplace: scoping review. JMIR mHealth and uHealth. 2020;8(11): e18774.
Melin-Johansson C, Palmqvist R, Rönnberg L. Clinical intuition in the nursing process and decision-making—a mixed-studies review. Journal of Clinical Nursing. 2017;26(23–24): 3936–3949.
Kitajima Y, Yokoyama K. Thought elements in time management of proficient ward nurses. In: Proceedings of the 47th Japan Nursing Science Society. Tokyo, Japan: Japan Nursing Science Society; 2017: 201–204.
Recio-Saucedo A, Dall'Ora C, Maruotti A, et al. What impact does nursing care left undone have on patient outcomes? Review of the literature. Journal of Clinical Nursing. 2018;27(11–12): 2248–2259.
Needleman J, Shekelle PG. More ward nursing staff improves inpatient outcomes, but how much is enough? BMJ Quality and Safety. 2019;28(8): 603–605.
Dall'Ora C, Griffiths P, Ball J, Simon M, Aiken LH. Association of 12 h shifts and nurses' job satisfaction, burnout and intention to leave: findings from a cross-sectional study of 12 European countries. BMJ Open. 2015;5(9): e008331.
Caruso CC. Negative impacts of shiftwork and long work hours. Rehabilitation Nursing. 2014;39(1): 16–25.
Rouleau G, Gagnon MP, Côté J, et al. Impact of information and communication technologies on nursing care: results of an overview of systematic reviews. Journal of Medical Internet Research. 2017;19(4): e122.
Jean ES, Gunilla CN, Göran IP, et al. Nurses' experience of using electronic patient records in everyday practice in acute/inpatient ward settings: a literature review. Health Informatics Journal. 2010;16(1): 63–72.
Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. P&T: A Peer-Reviewed Journal for Formulary Management. 2014;39(5): 356–364.
Kagawa S, Iijima S. Considerations of shortening hospitalization work time by video analysis: clinical use of smart glasses. Japanese Journal of Nursing Art and Science. 2021;20: 96–105.
Mitrasinovic S, Camacho E, Trivedi N, et al. Clinical and surgical applications of smart glasses. Technology and Health Care. 2015;23(4): 381–401.
Follman A, Ohligs M, Hochhausen N, et al. Technical support by smart glasses during a mass casualty incident: a randomized controlled simulation trial on technically assisted triage and telemedical app use in disaster medicine. Journal of Medical Internet Research. 2019;21(1): e11939.
Wuller H, Behrens J, Klinker K, et al. Smart glasses in nursing—situation change and further usages exemplified on a wound care application. Studies in Health Technology and Informatics. 2018;253: 191–195.
Kim SK, Lee Y, Yoon H, Choi J. Adaptation of extended reality smart glasses for core nursing skill training among undergraduate nursing students: usability and feasibility study. Journal of Medical Internet Research. 2021;23(3): e24313.
Jan P, Daniel W, Katrin B. Smart glasses as supportive tool in nursing skills training. 2018. https://www.researchgate.net/profile/Jan-Kopetz/publication/326199989_Smart_Glasses_as_Supportive_Tool_in_Nursing_Skills_Training/links/5b44902ca6fdcc6619145c4d/Smart-Glasses-as-Supportive-Tool-in-Nursing-Skills-Training.pdf.
Sun KK, Youngho L, Hyoseok Y, et al. Adaptation of extended reality smart glasses for core nursing skill training among undergraduate nursing students: usability and feasibility study. Journal of Medical Internet Research. 2021;23(3).
Hyoseok Y, Sun KK, Youngho L, et al. Google Glass–supported cooperative training for health professionals: a case study based on using remote desktop virtual support. Journal of Multidisciplinary Healthcare. 2021;14: 1451–1462.
Ministry of Health, Labour and Welfare. Survey on the standardization trends of medical information in foreign countries. Ministry of Health, Labour and Welfare Web site. 2019. https://www.mhlw.go.jp/content/10808000/000685914.pdf.
Nielsen J, Landauer TK. A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems. New York, NY: Association for Computing Machinery; 1993: 206–213.
Hanna S, Liyuan Z, Leif H, et al. Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations. JMIR Medical Informatics. 2015;3(2).
Tobias H, Farah M, Enrico C. Efficiency and safety of speech recognition for documentation in the electronic health record. Journal of the American Medical Informatics Association. 2017;24(6): 1127–1133.
Yen P, Bakken S. Review of health information technology usability study methodologies. Journal of the American Medical Informatics Association. 2012;19(3): 413–422.
Hwayoung C, Po-Yin Y, Dawn D, et al. A multi-level usability evaluation of mobile health applications: a case study. Journal of Biomedical Informatics. 2018;86: 79–89.
Cakir MG, Basoglu AN, Daim M. Exploring adoption of smart glasses: applications in medical industry. In: Proceedings of PICMET '16: Technology Management for Social Innovation. Honolulu, HI: Institute of Electrical and Electronics Engineers; 2016: 3175–3184.
Frederic E, Thomas W, Jonathan J, et al. A mobile app (BEDSide mobility) to support nurses' tasks at the patient's bedside: usability study. JMIR mHealth and uHealth. 2018;6(3).
Kai K, Julia O, Manuel W. Conceptualizing passive trust: the case of smart glasses in healthcare. In: Proceedings of the 27th European Conference on Information Systems (ECIS). Stockholm & Uppsala, Sweden: Association for Information Systems; 2019: 1-13.
Lewis JR. The system usability scale: past, present, and future. International Journal of Human-Computer Interaction. 2018;34(7): 577–590.
Sauro J, Lewis JR. Quantifying the User Experience: Practical Statistics for User Research. 2nd ed. Cambridge, MA: Morgan Kaufmann; 2016.
Ali EO, Nuri AB, Tugrul D. Exploring the design factors of smart glasses. In: Proceedings of the Portland International Conference on Management of Engineering and Technology (PICMET). Portland, OR: Institute of Electrical and Electronics Engineers (IEEE); 2015: 1657–1664.
Tarja H, Anu-Marja K, Kia G, et al. The association between using a mobile version of an electronic health record and the well-being of nurses: cross-sectional survey study. JMIR Medical Informatics. 2021;9(7).
Ying-Chao T, Chun-Yen H, Han-Yu W. User-defined game input for smart glasses in public space. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). New York, NY: Association for Computing Machinery; 2015: 3327–3336.
Lik-Hang L, Pan H. Interaction methods for smart glasses: a survey. IEEE Access. 2018;6: 28712–28732.
Franco J, Cabral D. Augmented object selection through smart glasses. Paper presented at the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services; Florence, Italy; September 6-9, 2016.
Mojarrad M, Clément C, Orsat S, et al. Mobile phones of hospital workers: a potential reservoir for the transmission of pathogenic bacteria. African Journal of Clinical and Experimental Microbiology. 2022;23(4): 407–441.
Gianluca P, Silvio S, Giuseppe M, et al. Smartphone use in nursing population: a narrative review. Professioni Infermieristiche. 2017;70(2): 102–115.
Deborah LM, Sandra AL. Personal communication device use by nurses providing in-patient care: survey of prevalence, patterns, and distraction potential. JMIR Human Factors. 2017;4(2): e10.
Christine AC, Diane LC, Ann CH, et al. Bedside information technology to support patient-centered care. International Journal of Medical Informatics. 2012;81(7): 442–451.
De Jong A, Donelle L, Kerr M. Nurses' use of personal smartphone technology in the workplace: scoping review. JMIR mHealth and uHealth. 2020;8(11): e18774.
Melin-Johansson C, Palmqvist R, Rönnberg L. Clinical intuition in the nursing process and decision-making—a mixed-studies review. Journal of Clinical Nursing. 2017;26(23–24): 3936–3949.
Kitajima Y, Yokoyama K. Thought elements in time management of proficient ward nurses. In: Proceedings of the 47th Japan Nursing Science Society. Tokyo, Japan: Japan Nursing Science Society; 2017: 201–204.
Contributed Indexing:
Keywords: Hospital admission; Nursing shortage; Smart glasses; Support system; Usability study
Entry Date(s):
Date Created: 20250307 Date Completed: 20260102 Latest Revision: 20260102
Update Code:
20260102
DOI:
10.1097/CIN.0000000000001295
PMID:
40052922
Database:
MEDLINE
Weitere Informationen
The shortage of nurses, which harms both patients and nurses, is a global issue. Healthcare providers are actively introducing information and communication technology and artificial intelligence to improve the efficiency of their nursing work. Electronic devices in healthcare often face challenges such as poor accessibility, complex documentation processes, and interference with patient care. Therefore, this study focuses on smart glasses as alternative devices and develops a hospital-work support application to test its usability. The usability test involved nurses who perform hospital-admission tasks in a simulated hospital-room environment at a general hospital in Japan as part of a performance measurement, followed by interviews and questionnaires (System Usability Scale) with nurses. The smart glasses used in this study were AR100 and DE100 from Dynabook. The tests yielded results from five nurses, including System Usability Scale scores ranging from 37.5 to 70, reduced documentation time, and a nearly 100% task-completion rate. However, we found usability issues related to the input method and distraction risks owing to the presence of the display, and the required application functionalities may vary depending on the nurses' capabilities. Although smart glasses can potentially improve the efficiency of nurses' hospital duties, further enhancements in usability are necessary.
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