Bayes’ Theorem for Digital Health, or How to Fight Misdiagnosis with Statistics

How would you fight medical misdiagnoses with statistics and the best digital health tools?

 

It’s simple: the more medical knowledge you have, the more tools you use, the better prepared you are about your health.  Statistics, in turn, helps shape up this knowledge and convert it to numbers.

 

WellAI‘s new article demonstrates this with a simple example and a cool application with a well-known Bayes’ Theorem:

https://medium.com/@WellAI/bayes-theorem-for-digital-health-or-how-to-fight-misdiagnosis-with-statistics-29ad6f6229c1

 

Here is the summary of the results:

 

Method (Accuracy of diagnosis):

 

A medical test (1.6%)

Average symptom checker (26%)

Best digital health assistant (e.g. WellAI™) (60%)

Average symptom checker + medical test (85%)

Best digital health assistant (e.g. WellAI™) + human doctor (85%)

Best digital health assistant (e.g. WellAI™) + medical test (95%)

Best digital health assistant (e.g. WellAI™) + human doctor + medical test (99%)

 

We believe that’s how healthcare is supposed to work: get to the bottom of your health condition by using various second opinion tools. This greatly reduces the probability of misdiagnosis and decreases the chance of having a wrong treatment or using the wrong drug.

 

Stay healthy!  Stay knowledgeable about your health!

 

WellAI Team