COVID-19 Severity Classification and Disposition

This use case is based on an active, open source project underway as part of the COVID-19 Healthcare Coalition. The ED Severity Classification project has been developed with the involvement of the American College of Emergency Physicians (ACEP).

For adults presenting to the Emergency Department (ED) with possible or confirmed COVID-19, provide a Clinical Practice Guideline and decision support tool that helps classify patient disease severity and give guidance on appropriate disposition. This tool will be accessible by emergency physicians in a workflow-friendly manner to assist in management of their patients in several ways:

  • Diagnostic workup – can be accessed early in the encounter of a patient with suspected or confirmed COVID to determine appropriate diagnostic testing.

  • Disposition – can be accessed after diagnostic testing has been performed to determine the safest disposition for the patient.

  • Resource Anticipation – the algorithm is structured to be able to be run in the background and have data presented on an ED or Hospital Tracking Board to be able to anticipate resource and bed needs.

 

The Emergency Department COVID-19 Severity Classification tool was developed by ACEP in collaboration with EvidenceCare.

Announcement and Credits

 

 

 

 

The following presentation by Davide Sottara describes how BPM+ models were used as part of an Agile Knowledge Engineering process to this guideline into computable forms that are based on the HL7 FHIR Clinical Guidelines IG.

Authoring Clinical Workflows Using BPM+ Standards (OMG BPM+ Health workshop, Sept 2020)
Davide Sottara, co-chair, Authoring Working Group and Principal Knowledge Engineer, Mayo Clinic
Use Case: Managing COVID-19 in the Emergency Department. Assist in determining the appropriate evaluation and disposition for adult patients with suspected or confirmed COVID-19. 

Presentation Slides

 

Content to be included, when available:

  • slides from Matt Burton describing the agile KE process

  • link to BPM+ models

  • link to CPG-on-FHIR artifacts produced by transformation from the models.