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Our Patient Satisfaction Scores Exceed National Average

Our patients always come first and are at the center of everything that we do. This is why our patient satisfaction ratings exceed the national averages. How do we calculate patient satisfaction? We use Press Ganey, the industry’s recognized leader in health care performance improvement, to gather feedback from all of our patients so we can continue to always excel in providing you the highest quality of care.

High Ratings Mean Highly Satisfied Patients*

93%
95%
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OVERALL PATIENT SATISFACTION

LIKELIHOOD TO RECOMMEND

"My experience related to this visit was very positive."

"Very nice and professional staff. They made me feel at ease."

"Dr. Muthean is to my opinion the best doctor in the field in Baltimore area, and the team at GSSE is one of the best known to me."



"Your ENTIRE staff is absolutely incredible!!!"

"I was extremely pleased and impressed with the efficient, courtesy and cleanliness of the staff and surroundings that I experienced. staff is knowledgablle, friendly, very well trained."

"Everything was wonderful. The process was organized and the center was very clean."

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Care Centered on Our Patients

Press Ganey is one of the tools we voluntarily participate with in order to help us measure how well we are doing according to the people who matter most—you. They administer a specific kind of survey to our patients, the Consumer Assessment of Healthcare Providers and Systems Outpatient and Ambulatory Surgery Survey (OAS CAHPS). The Press Ganey CAHPS database is more than four times larger than any other competitor in the industry. We are not required to participate in this type of survey, but in order to gain valuable insights and experience, we do. Survey results are not required to be published, but in order to be transparent and provide the best representation of our center we choose to make those results available to our new and current patients.

About the Press Ganey Satisfaction Survey

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*National Benchmark for Patient Satisfaction and Likelihood to Recommend are 86% and 84% respectively.