The paper I worked on with Katie O’Leary for AMIA this year, titled “Understanding patients’ health and technology attitudes for tailoring self-management interventions,” won the Homer Warner Award! From AMIA’s website, this award is given to the paper “that best describes approaches to improving computerized information acquisition, knowledge data acquisition and management, and experimental results documenting the value of these approaches.” The paper describes an innovative application of Q-methodology to elicit attitudes toward chronic health management and statistically clustering those results to derive significant composite patient profiles. The important contribution is empirical evidence that demographics like age, race, and educational attainment do not factor into a patient’s use of technology for managing a chronic health condition. These results argue against providers making any assumptions about a patient’s use of information technology based on demographics. Congratulations Katie!