The emerging field of Artificial Intelligence (AI) in medicine promises a new paradigm for the health care ecosystem. This new ecosystem, fueled by artificial intelligence, allows health care to be treated holistically from a genomics level, to an aggregated community level. AI helps doctors to identify patterns in large genomics and medical data sets by examining mutations and linkages in diseases and personalizing the treatment and protocols for a patient e.g. IBM Watson for Oncology and Google’s Deepmind Health project. AI-based predictive algorithms allow the prevention of the disease by allowing the doctors to spot the initial signal of that disease for example, epilepsy seizure detection through brain wave analysis and breast abnormality through Samsung’s Medison ultrasound system. These intelligent systems can be applied in different platforms from Chatbots and virtual assistants in mobile devices, wearable technology that directly monitors biometrics information from the human body, and internet of things devices that observe external systems such as traffic congestion, community events, and environmental pollution. Over the next decade, AI and the role it will play in health care is significant. However, the human dimension of medicine is also an important factor for the healing process. Compassionate care and social interaction must be combined with technology and science in order to improve a patient’s physical and mental well-being. Therefore, the technology development should not happen in silos, but it should stimulate a discussion with people from different backgrounds to have a dialogue. With the rise of AI in medicine, there is a need for discussion on how to encourage health care providers to use AI in a compassionate and empathetic way. We proposed a design workshop that allows an everyone included approach by inviting patients, doctors, health care providers, designers, and technologists to co-create the dialogue and interaction between humans in the post AI medicine. The goal of this workshop is to stimulate the conversation of AI medicine beyond the technology because most of the conversation around AI in medicine usually focuses on how to make the AI smarter and more accurate, rather than improving how humans interact with humans and how humans interact with AI.
Pataranutaporn, P., McCollum, K., Sarabu, C., Bates, J., Lester, N., Suwinyattichaiporn, T., & Bloner, C. (2017). Co-designing Compassionate and Empathetic Interactions in Post Artificial Intelligence Medicine. In Stanford Medicine X (pp. 1–2). Retrieved from https://medicinex.stanford.edu/conf/submission/view/628