For hospital administrators, predicting the number of patient visits to emergency departments, along with their admission rates, is critical for optimizing resources at all levels of staff. Ultimately, this reduces wait times in emergency departments and improves the quality of patient care.
Intel and the Assistance Publique-Hôpitaux de Paris (AP-HP), the largest university hospital in Europe, worked together to build a cloud-based solution for predicting the expected number of patient visits and hospital admissions using advanced data science methodologies and the Trusted Analytics Platform (TAP).
