Emily M Miller's Online Review Report Card
Emily M Miller
4.2
Average Star Rating
5
Total Reviews
2
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
Emily M Miller does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
Vitals
List of Emily M Miller's Reviews
Doctor came in and was in a rush. I met with amazing UCLA Health doctors before and only met with her for a quick follow-up appointment based on availability. I was left feeling worse than when I came in. She went against two previous doctors’ orders and made me feel like it was my fault. She did unnecessary actions and was just extremely unpleasant to have as a doctor.
Reviewed On HealthGrades
Dr Miller is outstanding. Very thorough and a very good listener which leads to very good communication. We’ve been blessed to have her on our side.
Reviewed On HealthGrades
Dr Miller was thorough and listened to my concerns in non judgemental way.
Reviewed On HealthGrades
Dr. Miller is extremely knowledgeable and is an expert in her field. She focuses on treating and analyzing health issues instead of simply treating the symptoms, which so many doctors do today. For chronic/acute issues or just maintaining general well-being, I would highly recommend Dr. Miller!
Reviewed On RateMDs
Dr. Miller was very personable, and took the time to really understand my complex medical history. I was impressed by how thorough she was in efforts to guide me towards wellness. She is, however, currently based out of Dover, NH not Temple, NH.
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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