Connected Health in the Age of Artificial Intelligence: What experiences and needs for patients? Axes : Digital marketing, big data and artificial intelligence / Sector : hospital

Abstract

Today, advanced medical techniques, such as the rise of predictive modeling in healthcare, and the availability of Big Data, combined with machine learning, have enabled artificial intelligence (AI) Make tremendous progress in several different areas, including consultation, medical diagnosis, curative treatment, epidemiological surveillance, early management and patient follow-up. Clearly, the advent of new AI systems has further strengthened research on machine learning (deep learning). The implementation of these practices in the hospital context raises new questions and raises important issues about their consequences on healthcare activities. According to the decision-makers (medical team, hospital actors, etc.), in spite of several theoretical writings, it is nevertheless still quite significant in practice. To this end, in order to fill this shortfall, the exploratory approach presented in this article makes it possible to provide concrete elements concerning the potential contributions and risks of AI in the hospital sector.