Representing Health Care Data for Emergency Medical Services


Regenstrief - Comment

We concur that the NEMSIS data set is an important collector of variables in the EMS context. In addition, we note that LOINC contains terms for observations and observation values for the complete NEMSIS data set (see panel ). Additionally, HL7 has developed the HL7 Version 3 Implementation Guide for CDA Release 2 - Level 3: Emergency Medical Services; Patient Care Report, Release 2 - US Realm, which uses the LOINC observation and observation values codes.

Further, it may also be worth mentioning that there is correlation between the NEMSIS (pre-hospital) data elements and the National Trauma Data Bank (NTDB) data dictionary, with the idea that the trauma registry could be “auto-populated” with the subset of relevant prehospital data. The National Trauma Data Standard data dictionary (2018 version) is also represented in LOINC (see panel ). HL7 has developed the HL7 CDA® R2 Implementation Guide: Trauma Registry Data Submission, Release 1 - US Realm, which uses LOINC. .

Last, the German Interdisciplinary Association of Intensive Care and Emergency Care Medicine defined a data set to enable efficient exchange from EMS pre-hospital services to receiving institutions. This complete data set of variables in the rescue service protocols are represented in LOINC (see panel ). This further supports the use of LOINC as a code system for use in this context.