TY - GEN
T1 - Design of the Nursing Products and System in Infection Ward in Post-epidemic Era
AU - Qiao, Ruoxin
AU - Niu, Siran
AU - Yang, Yuling
AU - Wu, Yue
AU - Zhang, Shuhan
AU - Chen, Yun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - In the post-pandemic era, infection wards continue to face significant safety hazards and management challenges, directly impacting patient recovery and the safety of medical staff. Despite significant advancements in intelligent equipment and their applications in infection control and patient care, research gaps persist, including a lack of specificity in addressing infection ward challenges, insufficient consideration of diverse stakeholders, limited methodological rigor, and a scarce focus on user experience (UX). Therefore, this study focuses on the specific context of infection wards, comprehensively addressing the needs of both medical staff and patients. Through bibliometric analysis using VOSviewer for keyword co-occurrence, it is evident that intelligent design holds significant potential to enhance the functionality, safety, and patient experience of infection wards. Systematically employing grounded theory and the Analytic Hierarchy Process (AHP), this study identifies five major categories and fifteen specific needs of infection wards. Based on these findings, a set of intelligent nursing devices and systems was designed. Design evaluations using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS) validated the feasibility and effectiveness of these systems, demonstrating their positive impact on optimizing medical resource allocation, reducing the burden on healthcare workers, and improving patient independence and confidence. The study provides theoretical support and practical reference for the future intelligent transformation of infection wards, contributes to reducing the risk of hospital-acquired infections, improves medical quality and efficiency, and enhances patients’ quality of life and sense of dignity.
AB - In the post-pandemic era, infection wards continue to face significant safety hazards and management challenges, directly impacting patient recovery and the safety of medical staff. Despite significant advancements in intelligent equipment and their applications in infection control and patient care, research gaps persist, including a lack of specificity in addressing infection ward challenges, insufficient consideration of diverse stakeholders, limited methodological rigor, and a scarce focus on user experience (UX). Therefore, this study focuses on the specific context of infection wards, comprehensively addressing the needs of both medical staff and patients. Through bibliometric analysis using VOSviewer for keyword co-occurrence, it is evident that intelligent design holds significant potential to enhance the functionality, safety, and patient experience of infection wards. Systematically employing grounded theory and the Analytic Hierarchy Process (AHP), this study identifies five major categories and fifteen specific needs of infection wards. Based on these findings, a set of intelligent nursing devices and systems was designed. Design evaluations using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS) validated the feasibility and effectiveness of these systems, demonstrating their positive impact on optimizing medical resource allocation, reducing the burden on healthcare workers, and improving patient independence and confidence. The study provides theoretical support and practical reference for the future intelligent transformation of infection wards, contributes to reducing the risk of hospital-acquired infections, improves medical quality and efficiency, and enhances patients’ quality of life and sense of dignity.
KW - Analytic Hierarchy Process
KW - COVID-19
KW - Design
KW - Grounded Theory
KW - Health
KW - Infection Ward
KW - Nursing Product and System
KW - Post-epidemic Era
KW - System Usability Scale
KW - User Experience Questionnaire
KW - User Experience and Usability
UR - http://www.scopus.com/pages/publications/105008490305
U2 - 10.1007/978-3-031-93227-4_24
DO - 10.1007/978-3-031-93227-4_24
M3 - Conference contribution
AN - SCOPUS:105008490305
SN - 9783031932267
T3 - Lecture Notes in Computer Science
SP - 346
EP - 364
BT - Design, User Experience, and Usability - 14th International Conference, DUXU 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
A2 - Schrepp, Martin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Design, User Experience, and Usability, DUXU 2025, held as part of the 27th HCI International Conference, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -