Objective

  1. Reduce the clinical burden placed on a provider due to challenges and or limitations stemming from health IT systems, associated clinical data, and implemented clinical decision support services

  2. Represent clinical data elements for COVID-19 workflows in a consistent format (i.e. utilizing BPM+) so that it is underpinned by a fully-defined terminology model and common data model (i.e., standard-based terminology knowledge bases, FHIR resources based on US-realm profiles and Analysis Normal Form)

  3. Standardize the application of clinical workflows and clinical decision support to enhance clinical quality improvement, analytics, and other clinical data processing around COVID-19 screening, testing, and treatment, to be leveraged for future public health emergencies

The KBS Informatics Knowledge Architecture found below will enable a streamlined and simplified workflow for specifying a consistent representation for clinical data extracted from EHR systems and enhance these data for use in enhancing COVID-19 workflows. Furthermore, our architecture will result in clinical data that is easily normalized, improving integration with BPM+ and other procedural knowledge artifacts.

 

Semantic Interoperability

Semantic interoperability is only possible for layers shared between organizations.