Suhad Z. Niazi's Online Review Report Card
5
Average Star Rating
6
Total Reviews
0
Recent Reviews
3
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
Suhad Z. Niazi does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
Yelp
Facebook
RateMDs
Vitals
List of Suhad Z. Niazi's Reviews
She takes her time to really listen and explain everything, and has always gone above and beyond to resolve any issues with my daughter's care with all of her complex medical issues. We absolutely love Dr. Niazi!
Reviewed On WebMD
Dr. Niazi is very professional, knowledgeable and caring. She goes out of her way to find an answer if she doesn't know. She has been seeing my two children for 15 years and knows about their health issues but also their social and emotional needs. Love her and her staff. Most of them have been with her for as long as we've been seeing her.
Reviewed On WebMD
She is excellent doctor, patient with children , and always has time for questions, with correct answers . I feel grateful to have a great doctor!!
Reviewed On HealthGrades
Dr is five star, staff on the other hand, no greeting when approach front desk and the worse, when trying to schedule an appnt by phone, good luck with that, I tried 22 times, the first time i tried this lady answer & seem nice but as soon she ask for a question i did not have my info correct & hang up on me..after that's when i tried clling back over 22 times & keep getting hanged onVery Fustrated!!, just wanted to mke an appnt for my daughter..please help on this matter. Thank you.
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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