Lynne Stockman's Online Review Report Card
Lynne Stockman
4.2
Average Star Rating
40
Total Reviews
1
Recent Reviews
5
Review Sites Found
Accepts Medicare
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Medical School
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Graduation Year
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Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Lynne Stockman does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Lynne Stockman's Reviews
I like Dr. Stockman but the wait times are ALWAYS extremely long. Whenever I need a sick appointment, which is rare, they can NEVER fit me in. I went over two years without a physical during covid so when I called to get in they said I hadn't seen her in 3 years so I would have to be established as a new patient and she was not taking new patients. I said I have called multiple times with an illness and could not get in for weeks so I had to go to urgent care. I have been a patient for over 10 years and they so easily dismissed me.
Dr.Stockman is a wonderful caring doctor. I feel so lucky to have found her.
She is thorough and caring.
Dr. Stockman has been my primary doctor for many years, starting shortly after she opened her first practice. She was also my father's doctor until he passed away 20 years ago. We both are/were very fond of her and never hesitated to put our trust in her capabilities.
Lynne & her partners have been my practitioners for years. Very professional. Very knowledgeable. Always quick to find out test results. Her staff are friendly and helpful.
She is a great doctor. She truly cares about her patients.
Dr. Stockman is an excellent physician. I have recommended her to numerous friends. A doctor that really cares.
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Locations
No related location
Selection Criteria
All the information you see here is based on our analysis of internet reviews across the seven major review platforms most used by consumers during their healthcare provider selection. The platforms we selected are Google, WebMD, Yelp, HealthGrades, Facebook, RateMDs, and Vitals. The analysis algorithm uses the compiled data of average score, recency of reviews, number of reviews, and the sentiment expressed in the written comments. It then assigns weight to each parameter based on the available research on how consumers use reviews in their doctor selection process. This report is designed to help identify the doctors with the best overall review score in an area and does not reflect the doctors' competence.
Disclaimer
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