MIchael Karathanos's Online Review Report Card
MIchael Karathanos
4
Average Star Rating
14
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
MIchael Karathanos does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
List of MIchael Karathanos's Reviews
I use to work for him for 9 years he was a very caring doctor and very knowledgeable. If I ever need a neurologist he would be the one
Reviewed On Vitals
Answered all of out questions, did not make us feel rushed, seemed genuinely concerned about my husband's condintion.
Reviewed On HealthGrades
Knowledgeable, kind, sincere, wonderful accent
Reviewed On Vitals
This dr didn't listening to my symptoms, and treated me like I was an idiot! He even tried to tell me that I didn't know whether the person who did my emg was a man or a woman. It turns out HE was looking at another patient's records. Then he told me he could tell by looking at me that I didn't have MS (which was why my PCP referred me to him. I'm sorry, but no one can just look at a person and see that the do or do not have MS!! He is an idiot!!
Reviewed On Vitals
Dr. was extremely helpful. Sometimes hard to understand but always willing to repeat himself. Works hard to figure out the best possible strategy and really watched out for my health. Best neurologist i have ever been to.
Reviewed On RateMDs
I used to have another neurologist who got my seizures and medication out of control. He got my seizures and medication back under control within five months.
Reviewed On RateMDs
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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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