Using Data Science to Address Two Major Problems in Daily Hospital Practice: Readmissions and Days to Discharge

摘要

The application of Artificial intelligence (Al) techniques to exploit healthcare data has led to the development of risk prediction models that have obtained variable outcomes. With the objective of applying Data Science solutions to make predictions related to our daily practice that can help to improve the quality of healthcare, optimize human and material resources and reduce costs, we present a project based on a new predictive model developed using complex artificial intelligence algorithms. Their prediction ability was properly evaluated with historical data. Al requires a systematic evaluation prior to being integrated in routine healthcare. Our pilot study points to a very high accuracy in the prediction of readmissions and a good accuracy in the prediction of hospital length of stay.