Updated guidance for Quality Data Model (QDM) Known Issues is now available on the QDM Known Issues Wiki. The Wiki serves as a collaborative workspace for the development of formatting conventions and usage patterns for the representation of logic within electronic clinical quality measures (eCQMs).
The updated Quality Data Model (QDM) Known Issues guidance addresses three known issues:
- The QDM datatype Medication, Active Timing in QDM 5.4 and 5.5. This issue is related to the definition of four time-related attributes: Relevant dateTime, Relevant Period, startTime, and stopTime. More information can be found in the QDM Jira Ticket QDM-242.
Users should interpret the definition for Relevant Period stopTime as: “when the medication is no longer active.”
- The QDM datatype Laboratory Test, Performed in QDM 5.3, 5.4 and 5.5. This issue is related to the definition of four time-related attributes: Relevant dateTime, Relevant Period (startTime, stopTime), Result dateTime and Author dateTime. More information can be found in QDM Jira ticket QDM-240.
Users should interpret the definition for result dateTime, which is consistent with FHIR R4 Observation.issued, as: The date and time this version of the observation was made available to providers, typically after the results have been reviewed and verified.
- UPDATED existing Known Issue: Update to Differentiating elective versus emergent or urgent encounters or procedures in QDM 5.5. The issue received further review as documented in QDM Issue Tracker QDM-212. Based on discussions with the HL7 Patient Care Workgroup and others, the FHIR (and QI-Core) Procedure resource will not contain a priority element (attribute).
If you have questions or suggestion for topics to be added to the QDM Known Issues guidance, please contact the ESAC, Inc. QDM team at the ONC Project Tracking System (Jira) QDM project.
Current and past versions of QDM specifications, QDM User Group meeting information, and Clinical Quality Language (CQL) resources are found on the Electronic Clinical Quality Improvement (eCQI) Resource Center.