Clinical decision support (CDS) tools at the point of care have shown to directly improve clinical outcomes. They provide the clinician informed decision-making capability that improves the efficiency of utilization of sparse resources. CDS provides clinical knowledge in a well-organized format. In order for this to happen, CDS tools need to be widely implemented and extensively used. As clinical data increases in volume, so does its complexity. Deciphering sound clinical data and presenting it in a meaningful form has always been a challenge. A bigger challenge is to be able to provide evidence-based assistance to healthcare providers at the bedside. A cohort study of ICU patients has been initiated wherein modeling techniques are being employed to predict mortality and improve the quality of care in the ICU.