Gabriel G. Pai's Online Review Report Card
4.5
Average Star Rating
17
Total Reviews
0
Recent Reviews
5
Review Sites Found
Accepts Medicare
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Medical School
-
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
Gabriel G. Pai does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
WebMD
Yelp
Facebook
RateMDs
Vitals
List of Gabriel G. Pai's Reviews
This place washed worst and we will bo be coming back here. There was a mix up with your insurance. So they said sorry we are not going to help. Even though we will still be going to see one doctor because someone in our family needs they. I can say that the people are not nice and don't help you but the doctors are.
Reviewed On Google
I have been seeing Dr. Pai for about 8 years. He is an excellent doctor who is very effective. I trust him completely. I rarely wait long to see him. I highly recommend him.
Reviewed On HealthGrades
When you are on the same hospital staff as the doctors you choose for yourself and your family you know who is the best. Dr. Pai is on that list. Always on his best for every visit. Highly recommended.
Reviewed On Google
I cannot say enough good things about this doctor AND his nurse Vanessa. It may sound funny - but this is the ONLY doctor's visit that I do not dread! Dr. Pai is the most compassionate and knowledgeable doctor. He has treated ALL of my children - including my son who has autism and always with patience and a caring attitude. With the state of health care these days......it is truly refreshing to find a physician that still seems to love what he does AND who is so good at it too!
Reviewed On HealthGrades
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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.
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