Most healthcare organizations are faced with disparate data sources, including electronic medical records (EMRs) such as patient records, procedures, medica tions, and labs; departmental research databases; clinical data warehouses; medical ontology; and significant unutilized, unstructured content, including doctor’s notes, tests, and results summaries. Their analytical requirements range from measuring required key performance indicators (KPIs), including readmission rates, mortality rates, hospital-acquired infections, and surgical care improvement, to answering new questions such as the following: What does our patient population look like? What is the geographical distribution of patients and clinics? Where are we using high-cost medications? Are there correlations with procedures and nursing facilities for re-admission?