Diagnostic medical devices used in homes, hospitals, reference labs, blood banks, and physician offices and clinics generate laboratory data that provide critical information needed to make medical decisions. This article profiles the product development process and sciences used to design these advanced diagnostics systems to be human-centered. Systems are becoming smarter, faster and friendlier for users. Specific benefits are identified along with the methods, challenges and design tradeoffs to achieve them. Users of diagnostic devices will be able to recognize and understand the impact of ergonomics in the design from this product development history.
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References
1.
CyrD.HeadM.LariosH. (2010). Color appeal in website design within and across cultures: A multi-method evaluation. Int. J. Human-Computer Studies, 68, 1-21.
2.
ElsonI. J. (2011). Designing better healthcare test reports for patients. Proceedings of the Human Factors and Ergonomics Society Annual Meeting’11, 55, 1303-1307.
3.
FewS. (2013). Information Dashboard Design: Displaying data for at-a-glance monitoring (2nd Ed.). Burlingame, CA: Analytics Press.
4.
FindlaterL.FroehlichJ. E.FattelK.WobbrockJ. O.DastyarT. (2013). Age-related differences in performance with touchscreens compared to traditional mouse input. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 343-346.
5.
Goodman-DeaneJ.WardJ.HoskingI.ClarksonP. J. (2014). A comparison of methods currently used in inclusive design. Applied Ergonomics, 45(4), 886-894.
6.
LafleyA. G.MartinR. L. (2013). Playing to win: how strategy really works. Boston, MA: Harvard Business Review Press.
7.
LiljegrenE. (2006). Usability in a medical technology context: Assessment of methods for usability evaluation of medical equipment. International Journal of Industrial Ergonomics, 36, 345-352.
8.
ParloffR. (2014, June30). New blood. Fortune, 64-72.
9.
PetersD. (2014). Interface Design for Learning: Design Strategies for Learning Experiences. Berkeley, CA: New Riders.
10.
PheasantD.HaslegraveD. (2005). Bodyspace: Anthropometry, Ergonomics and the Design of Work. Boca Raton, FL: CRC Press.
11.
RempleD.CamilleriM. J.LeeD. L. (2014). The design of hand gestures for human-computer interaction: Lessons from sign language interpreters. International Journal of Human-Computer Studies, 72, 728-735.
12.
StevensE. (2014). Fuzzy front-end learning strategies: Exploration of a high-tech company. Technovation, 34(8), 431-440.
13.
SundarS. S.TamulD. J.WuM. (2014). Capturing “cool”: Measures for assessing coolness of technological products. Int. J. Human-Computer Studies, 72, 169-180.
VincentC. J.BlandfordA. (2014). The challenges of delivering validated personas for medical equipment design. Applied Ergonomics, 45(4), 1097-1105.
16.
VincentC. J.LiY.BlandfordA. (2014). Integration of human factors and ergonomics during medical device design and development: It’s all about communication. Applied Ergonomics, 45, 413-419.
