The prevailing issue when working with Operating Room (OR) scheduling within a hospital setting is that it is difficult to schedule and predict available OR block times. This leads to empty and unused operating rooms leading to longer waiting times for patients for their procedures. Using multi-variate linear regression, Ayad Shammout and Denny Lee will show how they can predict available OR block times using Spark (SparkR, MLLib) resulting in better OR utilization and shorter wait times for patients.