Jaclyn Cox's Online Review Report Card
2.8
Average Star Rating
3
Total Reviews
0
Recent Reviews
4
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
Jaclyn Cox does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
List of Jaclyn Cox's Reviews
10 days in hospital with no sleep. Worst doctor ever. I was brought in by ambulance for covid symptoms.she would listen to anything I told her about medical history. She tested me for covid which I told her I couldn't be tested like that. She said your negative brought me to clean floor. They took a look at me and sent me back to covid floor where I stayed with a nurse that telling me I'm going to die. All day and night.then 2 days before being discharged she sent me to get my heart slowed down by using the defibulatot. I couldn't feel my heart beating fast at all. But she didn't card. It took me 2 months of sleeping to try to get back together. Now I have problem on my chest rashes.from the use of the defibulatot. She should be fired all she wanted to know is how are you going to pay bill. I will never go back to that hospital.
Reviewed On Vitals
She is very professional ,caring and committed. She knows enough to know that she does not know everything and will look for the correct treatment. Her empathy is felt and comforting.
Reviewed On HealthGrades
She is empathetic, very capable at making difficult situations understandable and providing patient centered care. Attentive to both detail medically and personally-listens to what the patient has to say.
Reviewed On HealthGrades
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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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