Tracking Orthopedic Outcomes at the Massachusetts General Hospital with a Clinical Registry: A Case Study

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This program will present a case study of Massachusetts General Hospital’s experience in optimizing orthopedic outcomes with a Clinical Registry.  Clinical leaders today are searching for solutions that enable them to track quality indicators and patient outcomes across key clinical specialties, both at a high level (e.g., by hospital or by department) and at a low level (by physician or patient).  This kind of “clinical intelligence” will be an increasingly important tool as shifting reimbursement methods push providers to optimize care delivery, and will play an increasingly important role in identifying and managing key cost and quality drivers.  

 Joint replacement surgeries are an excellent example of procedures where this clinical intelligence is critical, and The Massachusetts General Hospital’s (MGH) Harris Orthopedic Laboratory is a leading innovator in the use of clinical registries designed specifically for tracking orthopedics outcomes.  Dr. Orhun Muratoglu, Co-Director of the Harris Orthopedic Laboratory, and David Leung, Software Engineer, have deployed the Harris Join Registry and are in the process of deploying multiple other orthopedic registries at MGH. These web-based registries aggregate data from multiple clinical information systems across many locations and institutions and allow for powerful queries and data visualization analytics on orthopedic outcomes.

 Join Dr. Muratoglu, Mr. Leung, and Mr. Ludlow for this case study review of MGH’s experience deploying clinical registries designed to evaluate and ultimately optimize orthopedic outcomes.

Learning Objectives:

• Understand how a web-based clinical registry enables effective cross-institution collaboration.
• Learn how an ontology-driven registry platform enables clinicians and researchers to aggregate, map and harmonize diverse, complex data sets.
• Learn how a modern registry platform enables powerful queries and data visualization without the need for custom software coding or SQL generation.

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