« Statbusters: please back up an extreme claim with numbers | Main | What you learned and not learned about machine learning »


Feed You can follow this conversation by subscribing to the comment feed for this post.


It's so true.
For Quality, does HEDIS or P4P measures that the industry uses really tell who is good or not? I doubt a high rate of screening for Breast or Colorectal Cancer really measures whether a doctor is good or not.
For Satisfaction, it is mostly anonymous. I doubt there is meaningful information specific to the doctor of your choice if the health plan only samples a certain percentage of their members in their surveys.
At least you can hope that the address is accurate and up to date.

The comments to this entry are closed.

Get new posts by email:
Kaiser Fung. Business analytics and data visualization expert. Author and Speaker.
Visit my website. Follow my Twitter. See my articles at Daily Beast, 538, HBR, Wired.

See my Youtube and Flickr.


  • only in Big Data
Numbers Rule Your World:
Amazon - Barnes&Noble

Amazon - Barnes&Noble

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee

Next Events

Jan: 10 NYPL Data Science Careers Talk, New York, NY

Past Events

Aug: 15 NYPL Analytics Resume Review Workshop, New York, NY

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here

Principal Analytics Prep

Link to Principal Analytics Prep