Gaurav Rana's Online Review Report Card
Gaurav Rana
3
Average Star Rating
2
Total Reviews
0
Recent Reviews
3
Review Sites Found
Accepts Medicare
Yes
Medical School
OTHER
Graduation Year
2007
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Gaurav Rana does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Gaurav Rana's Reviews
I cannot figure out why the other reviews are so negative. Our visit with Dr. Rana was the most informative of any doctor we have been too. I had a book of questions and after he was finished, I did not have to ask but a couple of them. He was very professional, thoughtful, and very understanding to the fact that we needed to know more about what we were facing. Thank you Dr. Rana!
Dr. Rana seems very jovial and friendly but is in reality very uncaring and dismissive. For the first appointment I had with him, he spent about five minutes with me. He wasn't interested in discussing the reason for my appointment or in my medical history. For the second appointment, which took months to get, he spent approximately ten minutes with me. What is most disturbing is that by the second appointment, I had received a negative test result and he was completely dismissive and had no interest in discussing it with me. I was supposed to wear a heart monitor for 30 days and was only able to wear it for not even two full days. During these two days, I sent some data back to the office. He concluded based on this very limited data that I did not have AFib. I really don't see how it was possible to draw this conclusion based on very limited data. I would recommend going to almost anyone else.
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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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