Toni L Buchheit Md's Online Review Report Card
Toni L Buchheit Md
3.2
Average Star Rating
6
Total Reviews
3
Recent Reviews
5
Review Sites Found
Accepts Medicare
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Medical School
-
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
Toni L Buchheit Md does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
WebMD
Yelp
Facebook
RateMDs
Vitals
List of Toni L Buchheit Md's Reviews
Going on 8 months and I’ve only seen her once. She reschedules and cancels a lot. I’ve mainly seen a nurse practitioner throughout this experience. Disappointed to see her accepting new patients, she doesn’t have time for the patients she has now.
Reviewed On Google
Too much time looking at her watch and not answering any questions.
Reviewed On Google
She’s so fun and professional! Good to her nurses, and so personable with her patient! Everyone in the Lee’s Summit Clinic is so friendly. The clinic is clean and orderly. I wish I could’ve found them sooner! I recommend everyone to Dr. Buchheit. Can’t say enough good things about her!
Reviewed On HealthGrades
Dr. Buchheit is beyond amazing, she listens to your concerns without any judgment. She is extremely knowledgeable and very caring towards her patients. I couldn't have chosen a better OB. Her MA Clarissa I have nothing but good things to say about her as well. They both are an amazing team together. Thank you both for showing me that you care.
Reviewed On Google
Dr. Buchheit is amazing. She actually cares about you and your health. She will take the time to listen to what you have to say. Hands down she is the best OB that I have ever seen!!
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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