Predict Admission Rates with Machine Learning

Big data analysis has been used to improve the healthcare industry in several ways, such as developing personalized medicines, working to fight cancer and making pharmaceutical trials more efficient. Another exciting area that big data is ameliorating is the ability to forecast admission rates. With the help of machine learning, big data is able to predict the number of admissions a healthcare facility will have at any given time. This predicted number will allow for these facilities to better prepare for their anticipated number of patients by having enough staff ready to work, surgeries scheduled at the most opportune times, and the right type and amount of supplies stocked. This new application of big data analysis and machine learning to predict admission rates is based on both internal and external data.