Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support

Abstract

Immunizations are one of the most cost-effective interventions for preventing morbidity and mortality. As vaccines, related clinical knowledge and requirements change, clinical applications must be updated in a timely manner to avoid practicing outdated medicine. We use the Centers for Disease Control and Prevention (CDC) as a source for immunization knowledge for our Clinical Information Systems (CIS). After identifying knowledge management related gaps in the CDC's content and email notification service, we developed and adapted a knowledge management tool chain - called COMET - for facilitating automatic processing of the available immunization content to implement mature knowledge lifecycle management practices locally. The implemented features include error and change tracking, content discovery and analytics, and tracking of dependencies to dependent downstream CISs. We demonstrate the creation of a tool that enables content curators to visualize, track, and implement immunization changes.

Figure 1.

Content transformation flow

Figure 2.

ETL execution timeline visualization

Figure 3.

Sample graph traversal query (written in OrientDB’s SQL syntax)

Figure 4.

Example query visualized via OrientDB’s graph editor