A California based community hospital specializing in cardiovascular services was very much in need of a solution that will help them reduce readmission rate. As most of their patients were returning to hospital post discharge, and the reason was not quite evident.
Providers decided to engage a data science team to analyze the data generated to understand underlying problems and to improve the overall performance. Investigating data may not be easy unless we customize it to the required format that will address the needs of the hour.
Predictive modelling technique was then employed to figure out the major reasons resulting in readmissions, and what is the percentage improvement that can be achieved by following the suggestions of data driven model. Hospital successfully reduced the readmission rate by nearly 40% and had a better clarity on their way forward.