James Campbell, Alfred J. Anzalone, Jay Pedersen, and James C. McClay
ONC terminologies are constantly adding new content and deactivating existing codes. The University of Nebraska Medical Center (UNMC) deploys three primary code sets that require regular updating to support research: SNOMED CT, RXNORM / NDC, and LOINC. A problem across the i2b2 community is keeping these terminologies up-to-date and loading them into i2b2 for timely analysis of EHR data. We have developed tool kits for rapid deployment of SNOMED CT metadata and will be extending the work to RXNORM/NDC and LOINC.
Interoperable Knowledge Modeling in Emergency Care: Application of the HL7 Emergency Care Domain Analysis Model
James C. McClay and Laura Heermann Langford
The Emergency Care System (ECS) in the United States provides intermittent unscheduled care to an increasing number of patients annually. Every ECS patient encounter generates data in a myriad of unlinked systems at regional emergency services and hospitals. Often, their prior health records are not available in a timely manner, fragmented, or not found. To address availability and interoperability data relevant to emergency care, the Health Level Seven (HL7) Emergency Care Workgroup seeks to ensure evolving health data interoperability standards incorporate ECS considerations. Foundational to that effort is a comprehensive model of Emergency Care information. This emergency care domain analysis model consists of interlinked layers of vocabulary, information models, health record functions and emergency department workflow. This poster will describe the HL7 Emergency Care Domain Analysis Model (EC-DAM), the design considerations and the impact of the EC-DAM on related information standards such as FHIR resources in prehospital care, trauma care, disease surveillance, and clinical research. The EC-DAM provides an integrated, standardized platform for creation of interoperable EC related knowledge tools. This poster presentation is particularly relevant to developers of health information standards and health information systems that involve the ECS.
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