[THE IMPACT OF ARTIFICIAL INTELLIGENCE AND BIG DATA ON HEALTHCARE]

The fourth industrial revolution has led to a paradigm shift in the world of data; this paper reviews the implications on the medical and health services. These changes include: -The transition to big data: New layers of information such as longitudinal data, OMICS, information from social networks and the internet will be added to the conventional sources of information: anamnesis, physical examination, lab results etc. and will assist in medical decisions. -The transition to medical prediction: The information will allow not only diagnosing the current medical situation, but will also enable predicting the patient's risk level for developing certain diseases in the future. -The transition to artificial intelligence systems: This will enable analysis and generate insights into the vast amount of available information. -The decline in data production and data analysis costs: Much of the information will be collected by the patient himself and derived from his wearable devices. Information that was previously costly and exclusively owned by health officials, will be owned by others including the patient himself. These changes pose risks alongside the opportunities. The pace and quality of incorporating all this data depends on two opposing forces: technological innovation on the one hand, and system barriers on the other. Barriers include objections from users, budgetary constraints, patient privacy and regulatory barriers. The healthcare system must prepare wisely, but quickly, for the dramatic changes.