Study of patients' attitude to automatic interpretation of laboratory test results and its influence on follow-up rate.

Published in: BMC medical informatics and decision making (2022)

The results of the study show that delivering automatically generated interpretations of test results can support patients in making a decision to follow up. They are trusted by patients and raise their motivations and engagement.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
machine learning
patient reported outcomes
deep learning
decision making