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.
U.N.I. Urgent Care 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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4 | 98 | 0 | Found | - |
 WebMD
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- | - | - | Not Found/Missing | - |
 Yelp
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3 | 16 | 0 | Found | - |
 HealthGrades
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- | - | - | Not Found/Missing | - |
 Facebook
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- | - | - | Not Found/Missing | - |
 RateMDs
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- | - | - | Not Found/Missing | - |
 Vitals
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- | - | - | Not Found/Missing | - |
allowed me to wait in car
Reviewed On Google
Maybe it was just the day I went, but I thought the total experience at U.N.I. Urgent Care Center was bad - from beginning to end. I waited for about five/5 hours before I was called back to start the nurse screening, and finished at about five and three quarters/5.75 hours. The waiting room was chaotic and not well managed; those waiting received little to no communication about what was happening and why. I still have no idea why I waited so long. There seemed to be no prioritization process or a way for those withMedical issues beyond the offered rapid COVID test to be separated and handled distinctly from those just there for the rapid COVID test (I was NOT there for the rapid COVID test). When I finally did see the doctor, one of two of my medical reasons to be there were systematically dismissed. I was told they were understaffed by one nurse that day, but that shouldn’t have created the chaos. I think they were understaffed by a doctor or two and a couple of nurses. I will not go back to this facility again.
Reviewed On Google
No related location
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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