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Chris brings a unique skillset as a registered nurse with 17+ years of clinical experience in orthopedics and medical-surgical settings and a background as a charge nurse on behavioral health units. Moderating numerous medical device studies, she applies real-world expertise to test preparation and lab design. Her goal is to build rapport with participants and put them at ease the moment she meets them. Chris believes in active listening and creating a safe, non-judgmental environment to help participants engage and provide feedback on a deeper level. She has a BS in Nursing from Lewis University.
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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.