Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence.

ABSTRACT:

Background

The availability of high fidelity electronic health record (EHR) data is a hallmark of the learning health care system. Washington State's Surgical Care Outcomes and Assessment Program (SCOAP) is a network of hospitals participating in quality improvement (QI) registries wherein data are manually abstracted from EHRs. To create the Comparative Effectiveness Research and Translation Network (CERTAIN), we semi-automated SCOAP data abstraction using a centralized federated data model, created a central data repository (CDR), and assessed whether these data could be used as real world evidence for QI and research.

Objectives

Describe the validation processes and complexities involved and lessons learned.

Methods

Investigators installed a commercial CDR to retri

SUBMITTER: Devine EB 

PROVIDER: S-EPMC5983060 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature