Innovative Design Process for Intelligent Patient Bed by Using Synergy of TRIZ and QFDs Methods

Abstract:

This research is to integrate the QFD and TRIZ theories into innovative principles of the intelligent patient bed design processes. The use of the QFD matrix expansion and its importance for the evaluation and analysis to build the front-end preventive design process will meet customer needs. The evaluation is based on the order of importance; the quality characteristics of the target specifications and quality characteristics of the correlation matrix. The design of an integrated sensor system to monitor patients‟ body movements while lying on beds enables the data quantity to be collected and analyzed to identify the cause of bed sores and the spots that bed sores are prone to occur. Armed with this information, designers and engineers can work to develop much-improved and market competitive products, which is the focal point of this article. Doctors can then treat patients more efficiently and effectively. All physical response data derived from the patients (testers) are documented to assess the correlations between the sensors and the human body. During the test time, the mechanism was activated, and all of which were able to effectively facilitate the reduction of bed sores for the patient by the intelligent patient bed.

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 2901-2922
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.2901
• Online since: June 2012
• Authors: Chang Ming Hu, Chi Hao Yeh, Jay C.Y. Huang
• Keywords: Bed Sores, Conflicts-Solving, Intelligence Logic Design, Intelligent Patient Bed, Prevention Front-End Design, Quality Function Deployment (QFD), Theory of Inventive Problem Solving (TRIZ)

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