Best Practices for Designing Electronic Healthcare Devices and Services for the Elderly
Author:
Wille Matthias1, Theis Sabine1, Rasche Peter1, Bröhl Christina1, Schlick Christopher1, Mertens Alexander1
Affiliation:
1. Institute of Industrial Engineering and Ergonomics of RWTH Aachen University, Research Group Human Factors Engineering and Ergonomics in Healthcare, Nordrhein-Westfalen, Germany
Abstract
Abstract
Demographic change and associated shifts in the age structure lead to major challenges in health processes. One way to address this is to increase the use of telemedicine systems and services to ensure non-local yet individualized patient care, such as in rural areas. When considering new medical technology components, we must compensate for age-related changes in perception, cognition and motor skills to achieve user-centered design and take into account psychophysical effect relationships to achieve sustainable acceptance for technology integration. This paper presents various best-practice examples for participatory investigation into influencing factors, with a focus on the different times and periods within the lifecycle of a telemedical product and associated services. In addition to giving concrete design hints derived from individual studies, the paper discusses the strengths and weaknesses of the paradigms used and provides recommendations for user-centric development with old and very old patients.
Publisher
Walter de Gruyter GmbH
Subject
Computer Networks and Communications,Human-Computer Interaction,Communication,Business, Management and Accounting (miscellaneous),Information Systems,Social Psychology
Reference30 articles.
1. Abrams, R. A., Davoli, C. C., Du, F., Knapp III, W. H., & Paull, D. 2008. “Altered vision near the hands”. In Cognition, 107(3), 1035–1047. 2. Auerbach, S. M. (2001). Do Patients Want Control over their Own Health Care? A Review of Measures, Findings, and Research Issues. Journal of Health Psychology, 6(2), 191–203. 3. Becker, S., Kribben, A., Meister S, Diamantidis, CJ., Unger, N., et al. (2013) User profiles of a smartphone application to support drug adherence—experiences from the iNephro project. PLoS One, 8, e78547. 4. Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., et al. (2014) mHealth 2.0: Experiences, Possibilities and Perspectives. JMIR mHealth uHealth, 2(2):e24. 5. Bloesch, E. K., Davoli, C. C., & Abrams, R. A. 2013. “Age-Related Changes in Attentional Reference Frames for Peripersonal Space”. In Psychological Science, 0956797612457385.
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