| Literature DB >> 25479985 |
Yongqiang Lyu1, Christopher James Vincent2, Yu Chen3, Yuanchun Shi3, Yida Tang4, Wenyao Wang4, Wei Liu3, Shuangshuang Zhang3, Ke Fang3, Ji Ding3.
Abstract
Investigating new ways to deliver care, such as the use of self-service kiosks to collect and monitor signs of wellness, supports healthcare efficiency and inclusivity. Self-service kiosks offer this potential, but there is a need for solutions to meet acceptable standards, e.g. provision of accurate measurements. This study investigates the design and optimization of a prototype healthcare kiosk to collect vital signs measures. The design problem was decomposed, formalized, focused and used to generate multiple solutions. Systematic implementation and evaluation allowed for the optimization of measurement accuracy, first for individuals and then for a population. The optimized solution was tested independently to check the suitability of the methods, and quality of the solution. The process resulted in a reduction of measurement noise and an optimal fit, in terms of the positioning of measurement devices. This guaranteed the accuracy of the solution and provides a general methodology for similar design problems.Keywords: Measurement accuracy; Parameter identification; Self-service healthcare kiosk
Mesh:
Year: 2014 PMID: 25479985 DOI: 10.1016/j.apergo.2014.08.018
Source DB: PubMed Journal: Appl Ergon ISSN: 0003-6870 Impact factor: 3.661