Lawrence Ahn's Online Review Report Card
4.6
Average Star Rating
8
Total Reviews
1
Recent Reviews
5
Review Sites Found
Accepts Medicare
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Medical School
LOMA LINDA UNIVERSITY SCHOOL OF MEDICINE
Graduation Year
2020
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Lawrence Ahn does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Lawrence Ahn's Reviews
Dr. Ahn is very kind, thorough, caring, smart, a great listener, andanswered questions
Highly attentive and truly concerned for their patients' well-being.
Very Attentive Doctor Like what the other review said, Dr. Ahn is a very promising doctor. He took time and listened to all my concerns and worked with me to find a solution. He is very attentive and I can feel that he genuinely cares. We're on the first step and I'm looking forward to this journey with Dr. Ahn.
New primary doctor, great guy would recommend
How old is this guy? When he first walked in, I thought he was still in college. And I’m already very skepical with many doctors these days. But Lawrence listened and never rushed. But what’s most impressive was that he had all the answers. He asked the questions I assumed he’d ask, and he had a remedy and a medication ready for me to choose from.
Very respectful and thorough
This young man is very caring and very patient, qualities that are very important now days in a medical career. He has a great future and career as a doctor ahead of him.
Rubi Doctor was super attentive, offered solutions that worked. I also had an in office procedure and the office was super clean, he was super professional. Overall great experience
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Locations
No related location
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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