Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review.

ABSTRACT: Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-care risk stratification are still evolving. Here, we conducted a systematic review of articles describing predictive models integrated into EHR systems and implemented in clinical practice. We conducted an exhaustive database search and extracted data encompassing multiple facets of implementation. We assessed study quality and level of evidence. We obtained an initial 3393 articles for screening, from which a final set of 44 articles was included for data extraction and analysis. The most common clinical domains of implemented predictive m

SUBMITTER: Lee TC 

PROVIDER: S-EPMC7710328 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature