Chui, VictoriaPater, JessicaToscos, TammyGuha, Shion2023-03-172023-03-172023https://dl.eusset.eu/handle/20.500.12015/4647Algorithms as a component of decision-making in healthcare are becoming increasingly prevalent and AI in healthcare has become a topic of mass consideration. However, pursuing these methods without a human-centered framework can lead to bias, thus incorporating discrimination on behalf of the algorithm upon implementation. By examining each step of the design process from a human-centered perspective and incorporating stakeholder motivations, algorithmic implementation can become vastly useful, and more accurately tailored to stakeholder needs. We examine previous work in healthcare executed with a human-centered design, to analyze the multiple frameworks which effectively create human-centered application, as extended to healthcare.enhuman-centered data sciencespeculative designhealthcareparticipatory designText/Conference Paper10.1145/3565967.3570979