Last updated on 3/11/2022 | Get latest review report for $1
Average Star Rating
Total Reviews
Recent Reviews
Review Sites Found
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Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
Pamela Mir does not have an adequate amount of comments to generate the sentiment analysis.
| Review Sites Found | Average Score | Number of Reviews | Recent Reviews | Listing Status | Grade |
 Google
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0 | 0 | 0 | Found | - |
 WebMD
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- | - | - | Not Found/Missing | - |
 Yelp
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- | - | - | Not Found/Missing | - |
 HealthGrades
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2.8 | 6 | 0 | Found | - |
 Facebook
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- | - | - | Not Found/Missing | - |
 RateMDs
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- | - | - | Not Found/Missing | - |
 Vitals
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- | - | - | Not Found/Missing | - |
Dr. Mir is extremely thorough and knowledgeable. She is able to address my medical problems well. She has greatly improved my medication regimen with her hard work. She goes the extra mile to make sure her patients are well taken care of. She even called my cardiologist to discuss my care.
Reviewed On HealthGrades
I've been seeing Dr. Davis for several years. She's very smart and thorough. I have seen her for a variety of issues from respiratory problems to joint injuries to depression. I find her to be very personable and willing to listen. It's a very busy office, but I don't feel rushed during my office visits. It can be difficult to schedule an appointment on short notice, but that is an issue with the office and scheduling, not with Dr. Davis.
Reviewed On HealthGrades
Dr Davis would not take no for answer and made me feel extremely uncomfortable at my visit. The only way I could get her to stop what she was saying was to tell her to leave the room. She was extremely judgmental and I would not go back to see her.
Reviewed On HealthGrades
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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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