In leveraging the valuable insights delivered by real-time location systems (RTLS) technology, hospitals and healthcare facilities are able to undergo the kind operational overhaul they so desperately need, boosting ROI while simultaneously allowing for better working conditions for staff as well as more focused, immediate care for patients.
UX (user experience) design processes are constantly evolving as the industry continues to embrace IoT technologies. With this evolution comes a need to focus on improving UX protocols in the design of medical devices.
As surgeries become increasingly complex and involve more sophisticated technology, the mental and physical demands on surgeons and their teams are expected to increase. As an industry, we need to thoughtfully consider how each piece of technology introduced into operating rooms will impact existing surgical workflow and workloads.
“The solution provider that builds the device and creates the algorithm should consider integration and accountability among multiple other challenges. But meeting the needs of the third element in the equation, the doctors, is key.”
Anthony Fernando, CEO and president of Asensus Surgical, discusses the potential benefits of augmented intelligence in robotic surgery for both patients and physicians.
By applying HFE principles early on, packaging design can evolve beyond usability evaluations in product development cycles to ultimately ensure a better user experience and safe execution.
Companies must have the right data infrastructure in place to help them determine what their customers want, when they want it and how they want to receive it. One of the most critical elements of this success is connected intelligence, which provides a full view of customer needs and expectations to everyone in the organization.
Is technology replacing the human element in hospitals and clinics, or enhancing it? In this AAMI Research Review, a pair of newly published studies exemplify how accounting for the humans that use a technology can enhance its effectiveness… and vice versa.
AI can support device innovation and surgical training, but it requires data and collaboration.
