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Jim has 20+ years of medical device product development experience, ranging from orthopedic implants and surgical instruments, to endovascular products, to drug delivery systems. Jim conducts and manages both UX and human factors projects in the healthcare space. Jim has a BS in Physics from Appalachian State University and an MEngSc in Biomedical Engineering from the University of New South Wales.
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A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.