Chronic Disease Management in the AI Era

Half day workshop at the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019)

Beijing, China. June 10, 2019.

Chronic diseases, such as Diabetes, Cardiovascular diseases, hypertension have specific characteristics including increasing incidence rate, long term intervention requirement and multi-disease complications/comorbidities. Chronic Disease Management (CDM) is a series of actions designed to manage or prevent a chronic condition using a systematic approach to care and potentially employing multiple treatment modalities. Due to the internal and external complexity factors of managing chronic conditions, such as how to enable early risk identification of conditions, how to build precision medicine and decision support process, and how to support patient management at scale. With the emerging of advanced Artificial Intelligence (AI) technologies, they are becoming promising means to deal with the challenges among CDM practices. This workshop tries to discuss whether and how AI technologies can address challenges among the whole chronic disease management cycle. To concentrate, it will focus on Diabetes, and touch topics about the prevention, diagnosis, treatment, prognosis and engagement of Diabetes.