The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians.

ABSTRACT:

Aims

A major challenge of the use of prediction models in clinical care is missing data. Real-time imputation may alleviate this. However, to what extent clinicians accept this solution remains unknown. We aimed to assess acceptance of real-time imputation for missing patient data in a clinical decision support system (CDSS) including 10-year cardiovascular absolute risk for the individual patient.

Methods and results

We performed a vignette study extending an existing CDSS with the real-time imputation method joint modelling imputation (JMI). We included 17 clinicians to use the CDSS with three different vignettes, describing potential use cases (missing data, no risk estimate; imputed values, risk estimate based on imputed data; complete information). In each vignette, mis

SUBMITTER: Haitjema S 

PROVIDER: S-EPMC11417486 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature