Yuexing Hao is the President, Graduate Student Association (HCD) 23′ and PhD Research Fellow at Cornell University studying Human-Computer Interaction, Health Intelligence.

Shared decision-making (SDM) plays a vital role in clinical practice guidelines, fostering enduring therapeutic communication and patient-clinician relationships. Previous research indicates that active patient participation in decision-making improves satisfaction and treatment outcomes. However, medical decision-making can be intricate and multifaceted. To help make SDM more accessible, Hao et al. designed a patient-centered Artificial Intelligence (AI) SDM system for older adult cancer patients who lack high health literacy to become more involved in the clinical decision-making process and to improve comprehension toward treatment outcomes. In their upcoming ACM CHI 2024 paper, they conducted a pilot feasibility and usability study, showing promise in the AI system’s ability to improve SDM and provide personalized healthcare experiences and education for cancer patients. This paper collaborates with Cornell Community Cancer Partnership and Dr. Saleh Kalantari, a CIHF faculty fellow, serves as the advisor and senior author of this paper.

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