The first step is recognizing there is a problem: a methodology for adjusting for variability in disease severity when estimating clinician performance.

ABSTRACT:

Background

Adoption of innovations in the field of medicine is frequently hindered by a failure to recognize the condition targeted by the innovation. This is particularly true in cases where recognition requires integration of patient information from different sources, or where disease presentation can be heterogeneous and the recognition step may be easier for some patients than for others.

Methods

We propose a general data-driven metric for clinician recognition that accounts for the variability in patient disease severity and for institutional standards. As a case study, we evaluate the ventilatory management of 362 patients with acute respiratory distress syndrome (ARDS) at a large academic hospital, because clinician recognition of ARDS has been identified as a major

SUBMITTER: Bechel M 

PROVIDER: S-EPMC8924737 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature