Jeffrey Farkas Md's Online Review Report Card
Jeffrey Farkas Md
5
Average Star Rating
10
Total Reviews
0
Recent Reviews
3
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
Jeffrey Farkas Md does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
Vitals
List of Jeffrey Farkas Md's Reviews
My mother suffered a massive stroke which left her with minimal blood flow to her brain. After another doctor failed to diagnose the stroke location, I transferred her and she came under the care of Dr. Farkas. He had a diagnosis and surgery plan within 36 hours. A few hours after surgery her coloring had returned to normal and she started to regain mobility. This man is literally a lifesaver and I cannot recommend him enough.
Reviewed On HealthGrades
I love Dr. Farkas! He has been my doctor since 2012 when I had a stroke. In the 7 years I’ve been going to him he always has a smile on his face and speaks to his patients are the individuals they are. I cannot speak highly enough of Dr. Farkas.
Reviewed On HealthGrades
He saved my life. I will always be grateful he is a truly amazing doctor. This is one doctor if you ever have an aneurysm to the brain that you want to have him operate on you.
Reviewed On HealthGrades
My husband's been extremely lucky to have a Dr. Farkas as his surgeon. He truly is a superhero with invisible cape. Friendly staffs and wonderful fellow Drs. we are 100% satisfied.
Reviewed On HealthGrades
I will recommend Dr Farkas to anyone with Nero symptoms! He's the best!
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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