With my colleagues Bas van Dijk and Matthijs Killian, I published AutoNRT’s design in the journal Artificial Intelligence in Medicine in 2007.įollowing the success of AutoNRT, I decided to take on the challenge of automating as much as I could in the clinical software. A machine-learned expert system automatically picks nerve signals from the noise, the first commercial intelligent system in the industry. AutoNRT™ measures nerve responses from the auditory nerve at the press of a button.
Cr110 remote assistant software#
In those days, the acronym UX was yet to be understood, but the company knew that things had to change.Ī year later I began work on the first software feature that actually replaced a function performed by expert clinicians. It was no way to build an accessible application, and as the years went by, even the experts started to complain about the complexity of the software (the number of controls was in the hundreds). The cochlear implant industry was relatively young, so whenever a researcher wanted to experiment with the implant’s inner settings, the request ended up as an option in software.
When I began my career at Cochlear as a graduate engineer in 2002, Cochlear’s PC-only clinical software was essentially designed with expert clinicians and researchers in mind. These two events, coming in quick succession, have given me reason to describe the technology and reflect on my design career at Cochlear in this post. The week prior to the judging of the Design Awards, I published the design and outcomes of the clinical software with Rami and Saji Maruthurkkara in the International Journal of Audiology. For the hearing industry, the product design enables significant changes in clinical care, opening cochlear implant management to a wider number of clinicians, surgeons and-for the first time-recipients themselves. For my part, and in partnership with my colleague Rami Banna, I dedicated nine years of my own research and development to the clinical software on these two products. Last week, the Australian International Design Awards gave Nucleus® CR110 Remote Assistant Fitting (left) and the Nucleus® CR120 Intraoperative Remote Assistant (right) its Good Design™ mark.
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