Thomas M. Habermann's Online Review Report Card
5
Average Star Rating
4
Total Reviews
0
Recent Reviews
5
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
Thomas M. Habermann does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
WebMD
Yelp
HealthGrades
Facebook
RateMDs
Vitals
List of Thomas M. Habermann's Reviews
Professor Habermann is an outstanding doctor. If you are in the unfortunate position to need cancer care you would be very fortunate to have Professor Habermann as your doctor. He identified I was previously misdiagnosed, he offered practical advice, guidance and help, always going that extra mile to make me and my wife feel we have his full attention. He is genuinely concerned about the well being of his patients, to such an extent that we were positively surprised. In his field he is among the top experts worldwide and a short discussion with him reveals the depth of his knowledge. He was always ready to discuss any recent development (articles, studies, etc) which pertained to my condition and addressed every concern I had in a way that made me feel I was talking to a friend rather than a doctor I had recently met. I strongly recommend him for anyone suffering from a hematological condition.
Reviewed On Google
Dr. Habermann has been my husband’s doctor for 7 years treating him for non-hodgkin’s lymphoma. We both think he’s the best doctor we could have with this diagnosis. He excels in his field both clinically and in research. Putting him at the very top for us is his very caring and personable interaction with us.
Reviewed On Google
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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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