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Usability Testing of Medical Devices and the Emergence of Artificial Intelligence
By Nye Canham and Dhanial Salim, Emergo by UL
Usability testing is a mainstay in applying Human Factors Engineering (HFE) to medical device design. However, while regulatory requirements for usability testing continue to evolve, the application of usability testing in the healthcare industry has remained fundamentally unchanged since its introduction.
With the release of generative artificial intelligence (AI) chatbots pushing AI to the forefront of the public eye and the continued rapid pace of technological innovation in the healthcare industry, current approaches to usability testing can start to look outdated. There is a nature. Additionally, the question arises as to whether traditional usability testing approaches can continue to be effective tools to support human factors research and design (HFR&D) and clinical evaluation of medical devices.
We anticipate that testing the safe use of medical devices will be a long-standing need, but that may require usability testing to evolve or be replaced by other forms of verification.
Related: AI Breakthroughs in Medical Technology: 7 Ways to Enhance Healthcare
The future of usability testing metrics
Studies on scientific measurements of usability have identified a number of characteristics such as effectiveness, efficiency, satisfaction, ease of use, ease of learning, ease of understanding, fault tolerance, attractiveness, and safety. However, the ease of measuring the difficulty users have with the product compared to other usability characteristics has led to a focus on identifying and classifying usage errors. Usability testing typically involves observing a sample of the target population who operate the product, counting and categorizing the difficulty. This approach is underpinned by a narrow view of safety and the assumption that these measures are correlated with other unmeasured properties of usability.
Future developments may lead usability testing to a more dynamic approach. Advances in eye-tracking tools, facial recognition, and brain-computer interfaces for usability testing may give researchers greater insight into user behavior and cognitive processes. Imagine a scenario where a user interacts with a digital application and an AI algorithm captures subtle facial expressions, eye movements, and brainwave patterns in real time. This rich data provides valuable feedback to designers, allowing them to refine and optimize their user interface and improve usability. Combining human validation with AI-powered analysis makes usability testing more accurate, efficient, and user-centric than ever before.
Read the full story, including details on our new simulation technology and automated usability testing, on the Emergo blog.
The opinions expressed in this blog post are solely those of the author and do not necessarily reflect those of MedicalDesignandOutsourcing.com or its employees.
