An information model to support user-centered design of medical devices

被引:18
|
作者
Hagedorn, Thomas J. [1 ]
Krishnamurty, Sundar [1 ]
Grosse, Ian R. [1 ]
机构
[1] Univ Massachusetts, Dept Mech & Ind Engn, 160 Governors Dr, Amherst, MA 01003 USA
基金
美国国家科学基金会;
关键词
User-centered design; Medical device design; Ergonomics; Information model; Engineering design; ENGINEERING DESIGN; FUNCTIONAL BASIS; HUMAN HAND; FRAMEWORK; ONTOLOGY; TOOL; ERGONOMICS; KNOWLEDGE; INTEGRATION; REUSE;
D O I
10.1016/j.jbi.2016.07.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The process of engineering design requires the product development team to balance the needs and limitations of many stakeholders, including those of the user, regulatory organizations, and the designing institution. This is particularly true in medical device design, where additional consideration must be given for a much more complex user-base that can only be accessed on a limited basis. Given this inherent challenge, few projects exist that consider design domain concepts, such as aspects of a detailed design, a detailed view of various stakeholders and their capabilities, along with the user-needs simultaneously. In this paper, we present a novel information model approach that combines a detailed model of design elements with a model of the design itself, customer requirements, and of the capabilities of the customer themselves. The information model is used to facilitate knowledge capture and automated reasoning across domains with a minimal set of rules by adopting a terminology that treats customer and design specific factors identically, thus enabling straightforward assessments. A uniqueness of this approach is that it systematically provides an integrated perspective on the key usability information that drive design decisions towards more universal or effective outcomes with the very design information impacted by the usability information. This can lead to cost-efficient optimal designs based on a direct inclusion of the needs of customers alongside those of business, marketing, and engineering requirements. Two case studies are presented to show the method's potential as a more effective knowledge management tool with built-in automated inferences that provide design insight, as well as its overall effectiveness as a platform to develop and execute medical device design from a holistic perspective. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:181 / 194
页数:14
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