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With a background in interdisciplinary social sciences, Christina has been trained in various qualitative research methods. Her human factors expertise includes consulting on products from early-stage exploratory research through end stage validation studies, and she has supported several successful submissions. She collaborates with clients to design programs of research and decide on optimal methodologies, while supervising individual research projects involving medical devices and digital health management platforms. Christina holds a BA in Comparative Human Development and an MA in the Social Sciences from the University of Chicago.
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Our research has shown a trend in healthcare provider feedback regarding mHealth alerts and features. While generally positive about the concept, liability is top of mind with this user group and common questions were raised during testing.
With the thousands of projects managed over the years, we feel like we’ve “seen it all.” While rare, in spite of the amount of preparation and planning, sometimes things don’t go as expected.
HFES healthcare symposium provides insight on FDA and regulatory perspectives, use of technology in research, interesting research methods employed, and cross-industry collaboration.
As designers, we assume users will behave the way we expect them to behave. Unfortunately for us, humans are unpredictable … attempts to model behavior typically predict less than 10% of actions. Consider the Theory of Planned Behavior, which suggests behaviors depend...