Jayme Brown's Online Review Report Card
4.3
Average Star Rating
6
Total Reviews
1
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
Jayme Brown does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
WebMD
Yelp
HealthGrades
Facebook
RateMDs
Vitals
List of Jayme Brown's Reviews
Staff are friendly and polite. I was seen quickly and had no problems. I received a recommendation for a lasik place when I asked for one, and they weren't pushy or anything when I chose not to schedule with their partner right away. I went there once pre-pandemic and remember having a good experience that time too. Would recommend.
Reviewed On Google
I never think to write a review if things are good, so when I saw there were only 2 reviews, that told me all the clients were like me and were happy with the service and care they receive at the Eye Doctors here in Lawrence. I have been a patient there for over 10 years and have received exceptional care there. The staff is very professional and helpful and gets you in as soon as possible, sooner if there is an emergency. I highly recommend!
Reviewed On Google
I’m from out of town and needed my bent frames repaired (don’t leave your glasses on couches my friends) I was so lucky to find that the Eye Doctors were still open at 6:30 at night and they fixed my frames for me! I asked what I owed her and she told me not to worry about it. Seriously made a stressful situation way easier and I really appreciated their friendly service!
Reviewed On Google
Everyone is every nice
Reviewed On Google
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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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