Elizabeth Wu's Online Review Report Card
Elizabeth Wu
4.6
Average Star Rating
15
Total Reviews
0
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
Elizabeth Wu does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
List of Elizabeth Wu's Reviews
She is kind, patient, and sensitive. She provides a lot of information and takes the time to explain everything. She is attentive and makes herself available to ask any question big or small. Dr. Wu takes excellent care and is comforting through hard situations.
Reviewed On HealthGrades
Dr. Wu is professional and compassionate. She takes time with the exam and to answer questions. Her staff is kind and considerate as well. Highly recommend.
Reviewed On Vitals
Dr. Wu and her friendly front desk Sofia are the best to work with! I waited only 10 minutes after my appointment time and Sofia kept apologizing for the delay. I didn't think there was any delay. I brought a book assuming the wait was 1 hour. Dr. Wu has a great bedside manner that you know will last a long time. I can hear Dr. Wu saying hello so friendly to all her other patients while I was waiting in the room so I know she wasn't only nice because I was new she is genuine. I love this facility! I am looking forward to going to her again for all my female care and hopefully soon my pregnancy.
Reviewed On Vitals
Dr. Wu is warm, friendly,and professional. I had a wonderful experience with her this morning and will transfer to her for good. Her staff is also courteous.
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.
Disclaimer
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