Case Study: Good Samaritan Hospital achieves rapid, automated data preparation—cutting tasks from hours to minutes—with Altair Knowledge Works

Good Samaritan Hospital Treats Data Governance and Preparation Woes with Data Intelligence

Good Samaritan Hospital, a USC-affiliated academic medical center that admits about 12,500 patients and handles over 74,000 outpatient visits annually, relied on its analysts for critical revenue-cycle insights. Those analysts faced a major hurdle: patient, procedural and insurance data lived in multiple systems (including a complex MediTech EMR), making extraction, reconciliation and timely reporting difficult or dependent on the IS department. The team needed an intuitive self-service tool that could handle varied, often unstructured inputs and deliver up-to-date reports across skill levels.

By deploying Datawatch Monarch, analysts could extract data from any source (including PDFs and text), clean, blend and automate joins with a click-based, no-code interface. Routine tasks that once took two to three hours now run in about 20 minutes, producing a comprehensive view of bills and claims, speeding service to patients and insurers, and freeing analysts to contribute to clinical analytics, staffing and case-management initiatives.

Good Samaritan Hospital

Michele Clark

Senior Business Analyst