Tony Tran's Online Review Report Card
2.2
Average Star Rating
3
Total Reviews
1
Recent Reviews
4
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
Tony Tran does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Tony Tran's Reviews
Dr. Tony tran was very unprofessional i had a appointment at 4pm and he rushed through my appointment and didn’t fully did my exam check up. He was making sarcastic statements such as “ill be back in 2 hours” (when he left the room) etc. He didn’t even explain anything and had me waiting outside a room for no reason standing all because he had to get all his belongings to leave his shift. Also made weird comments that made me uncomfortable and told me to ask the girls in the front desk about the creepy things he had said to them. So disappointed i would not be coming back here.
Many issues. Long wait. Wrong script after exam for distance glasses and paid xtra for reading glasses but they put the distance script in those frames as well. Never called to let me know that the glasses were ready. Then when I finally got them the scripts were both wrong. Do not go here.
Dr. Tran is compassionate, caring, and invested in his patients care. My non-verbal, paraplegic, half paralyzed sister-in-law was sent to him with a longstanding eye infection without any communication from the nursing home. He accomodated her and us with patience, kindness, understanding, and prescribed the required antibiotic. We've emailed him pictures of our sister's eye twice now and he has called back within minutes both times. Just as importantly, He's followed up with the nursing home and us on her behalf. We appreciate you and your staff Dr. Tran. You are amazing. Thank you so much.
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Locations
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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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