Computer-Augmented Decision-Making in Surgery

Mayo Clinic is dedicated to keeping clinicians and patients at the center of decision-making in patient care. However, as the U.S. health care system changes and grows, major challenges to Mayo's clinician-driven, patient-focused model of care continue to arise — including the obstacle of information overload.

With the ever-increasing depth of data available in patients' medical records, real-time streaming of information from monitoring devices, and emerging technologies such as genomics, clinicians need innovative solutions to help them rapidly identify key pieces of knowledge in this "sea of information."

The Surgery Research Center is engaging strategic partners at the leading edge of computer science and technology to provide surgeons and other members of the patient care team with advanced approaches to identify relevant and actionable information in the clinical setting.

Such approaches are often referred to as "artificial intelligence" or "machine learning." In the Surgery Research Center, research is seen as developing "computer-augmented decision-making," a focus that more accurately reflects Mayo Clinic's belief that these technologies are tools that support and amplify human knowledge and individual choices.

This strategy allows for rapid adoption and integration of new data streams in patient care, minimizes the risk of information overload, and maximizes the amount of time that clinicians can spend focusing on their patients.