James Mullin's Online Review Report Card
James Mullin
4.6
Average Star Rating
8
Total Reviews
0
Recent Reviews
4
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
James Mullin does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
HealthGrades
Facebook
RateMDs
List of James Mullin's Reviews
Dr James Mullin...Is a excellent doctor & I recommend him very highly...very caring & answers any questions you may have...
Reviewed On Vitals
There are many things which I like about Dr Mullin. The first thing that comes to mind is how confident I feel about him and his staff. They are all genuinely great people - kind, patient, friendly, and of a pleasant nature, etc. I went to him thinking I had one type of problem, but he discovered it was quite different and has been treating me for advanced a-fib for several years now. Dr Mullin himself is an extremely patient and kind person. In researching his background, I have found him to be one of the highest rated, knowledgeable, and most experienced Cardiac Electrophysiologists in downstate Illinois. My condition necessitates this type of a specialist, so I'm so very grateful to have found him and to call him my doctor! Dr Mullin has always been able to deal with my life-threatening condition in a proper and professional manner. He is my surgeon as well as my doctor. I have no desire to go elsewhere. I completely trust him and his staff to be up-to-date with medical knowledge and procedures. Perhaps you've got a good doctor, but I'm happiest to stick with mine!
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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