Sana Assaf's Online Review Report Card
2.5
Average Star Rating
4
Total Reviews
0
Recent Reviews
4
Review Sites Found
Accepts Medicare
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Medical School
-
Graduation Year
-
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Sana Assaf does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
Vitals
List of Sana Assaf's Reviews
Dr. Assaf is great. she listens to our concerns and she is very helpful. But, nurse Rachel is very rude, disrespectful and impolite, and give you wrong advices. if it was not for Dr. Assaf, i would have changed my pediatrician.
Reviewed On HealthGrades
she spends enough time to listens all our question and concerns with very good attitude.
Reviewed On HealthGrades
Dr. Assaf prescribed meds that my kid had adverse reactions to, and it was hard to communicate with her or the office to follow up. The office used to be efficient and advanced as far as the quality of care provided and communicating with parents and other providers. Lately, I’ve had mistakes with forms and orders. Triage is not always providing correct guidance (recommended continuing a med that was causing an adverse reaction). They need to get back on track with their quality of care.
Reviewed On HealthGrades
Not recommending Dr. Assaf. I have had a bad experience with my daughter. a. Lets parents wait for a long time b. Careless in prescribing medicine (wrong prescription sent to pharmacy!!). Very angry about it! c. Changes her diagnosis from one visit to the next. Its like she is doing a hit n trial diagnosis. I don't have any complaints against the office itself.
Reviewed On HealthGrades
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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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