MIchael Brown's Online Review Report Card
MIchael Brown
3.7
Average Star Rating
3
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
MIchael Brown does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
List of MIchael Brown's Reviews
Lack of care, concern, and appropriate lab testing after prescribing MS DMD leaving me with serious liver damage and uncertainty about what to do when I knew something was very wrong and his response was, "It is MS. You're not dying." Nurse called and said Dr. Brown would not extend my leave from work and I was making a big deal about typical medication side effects. Thank goodness I trusted my gut, found a new doctor through the local MS society and at the first visit was given proper lab testing followed by instructions to STOP THE MEDICATION IMMEDIATELY! I thought this doctor retired. Apparently, he moved. Be very careful.
Reviewed On HealthGrades
I've seen a number of neurologists over the past 20 yrs (chronic condition). Dr. Mike Brown might well be the best of 'em. With his treatment, you make progress & feel more hopeful. He has the expertise of a 20+ years neurologist -- and a big way of making you feel better just from being in his office. Thanks, Dr. Brown!
Reviewed On Vitals
A talented neurologist (I've seen a lot of them) and an extraordinary man. He cares deeply about his patients; you feel it when he's in the room. Dr. Brown is the first neurologist who was able to get to the crux of my condition - and treat it.
Reviewed On Vitals
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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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