Unknown

Dataset Information

Expectation of clinical decision support systems: a survey study among nephrologist end-users.


ABSTRACT:

Background

Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalized treatment efforts are crucial for long-term patient outcomes. Physicians need to integrate different data levels, e.g., clinical parameters, biomarkers, and drug information, with medical knowledge. Clinical decision support systems (CDSS) can tackle these issues and improve patient management. Knowledge about the awareness and implementation of CDSS in Germany within the field of nephrology is scarce.

Purpose

Nephrologists' attitude towards any CDSS and potential CDSS features of interest, like adverse event prediction algorithms, is important for a succes

SUBMITTER: Kotsis F 

PROVIDER: S-EPMC10605935 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature