Annie J. Fang's Online Review Report Card
4.3
Average Star Rating
31
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
Annie J. Fang does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
HealthGrades
Facebook
List of Annie J. Fang's Reviews
Terminated a Tele-Health with this waste of time doctor. Her older reviews appear favorable. If you have a time machine, go back to those years and maybe you'll find this one to be worth your time. As the daughter of a physician,I can tell you this is not someone who cares about patients.
Reviewed On Vitals
I was disappointed because she was so highly rated. She was preoccupied during our visit. Wouldn't give opinions on next steps, then said we would see what my results were and then just referred me to another doctor, instead of following through like she said she would. Did not seem to care at all.
Reviewed On Vitals
I’ve been a patient of Dr Fang for some years now, I am well cared for... she listens to my issue or questions & explains the how what & why of my medical care. I would highly recommend her to anyone.
Reviewed On Vitals
Spent most of the time taking notes and looking at computer screen, didn't really feel that she was listening to my questions. Seemed annoyed when things were not all normal.
Reviewed On RateMDs
Dr Fang is a wonderful PCP. She really takes an interest in her patients and their wellness.
Reviewed On Vitals
excellent caring doctor follows up thorough attentive listening skills cares about patient
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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