An evaluation of vignettes for predicting variation in the quality of preventive care

By T. Dresselhaus, J. Peabody, J. Luck, Daniel Bertenthal. 2004

60 citations recorded by the source corpus.

Subfields: General Health Professions

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jonathan G. Richens
2. Saurabh Johri
3. Ciarán M. Lee

Citations in the corpus

• Improving the accuracy of medical diagnosis with causal machine learning (2020, methodology): “…real data sets such as EHRs, as the task of simulating a disease given its known properties is simpler than performing a differential diagnosis, and has been found to be effective for evaluating human doctors 73 – 76 and comparing the accuracy of doctors to symptom checker algorithms 17,23,77,78 .”