Participants for today’s call:
Rob Hausam joined but had to drop at 2 pm eastern.
Membership:
Name | Organization | Role |
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Raj Dash | College of American Pathologists (CAP) | Chair Steering Committee member |
Scott Campbell | UNMC | Steering Committee member |
Dan Rutz | Epic | Steering Committee member |
Muktha Natrajan | CDC |
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Sandy Jones (Secondary) | CDC Cancer Surveillance |
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Anne Peruski (Secondary) | CDC |
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Andrea Pitkus | University of Wisconsin-Madison | Steering Committee member |
Xavier Gansel | bioMérieux | Steering Committee member |
Stan Huff | Graphite Health | Steering Committee member |
John Snyder | NLM | Steering Committee member |
Rob Hausam | Hausam Consulting |
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Marjorie Rollins | Regenstrief | Steering Committee member |
Amy McCormick (secondary) | Epic |
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Nanguneri Nirmala | Tufts Medical Center | Steering Committee member |
Mehdi Nassiri | Indiana University/Indiana University Health/Association for Molecular Pathology | Steering Committee member |
Eza Hafeza | Regenstrief | Steering Committee member |
Jim Case | Snomed International | Steering Committee member |
Kevin Schap | CAP |
|
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Discussion topics
Item | Notes |
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Use case review | LRI |
LRI review | Device Type - current HL7 references table 961, which is empty. The consensus of the WG is to use the UDI schema proposed by the FDA (UDI Basics | FDA). We defer to the LIDR or future workgroup: extension of additional device / test kit identifiers for which different patterns of (new) data elements (for which no established standard exists) might be required. The use of the following terminologies are defined in the LRI implementation guide v2 (release 5, May 2024) specifies coding system to be used (https://www.hl7.org/implement/standards/product_brief.cfm?product_id=279 ) LOINC is slated for use in OBX-3. All non-numeric results should be coded in SCT whenever possible to support interoperability. The workgroup recommends for all qualitative results (answers), SCT codes should be used (duplicate LOINC codes should not be used). Organisms (such as that specified in culture or molecular identification) use SCT codes. Susceptibility results to antimicrobials uses LOINC (OBX-3) for the antimicrobial name and SCT for a qualitative result (susceptible or not) or can have a numeric result (not coded). Workgroup recommendation is to promote use of SCT codes for all qualitative answer sets and specimen related data whenever possible in support of interoperability (instead of allowing use of other schemas, such as local codes, a LOINC answer code or an HL7 table) Excerpt for reference (as examples of options permitted that may preclude interoperability): Code to SNOMED CT preferred; codes for Specimen Type (SPM-4) as provided in the Vendor Specimen Description column of the LOINC Mapping tab in the LIVD document. ELR allows use of both SNOMED CT codes from the specimen hierarchy (PHVS_Specimen_CDC: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=1F2170E4-00A6-DF11-9BDD-0015173D1785) and HL70487 codes (PHVS_SpecimenType_HL7_2x: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=E1399690-F6D4-E111-AC0B-0050568D00F8) Some labs may support the sending of source site information (SPM-8); ELR R1 uses SNOMED CT codes compiled in the HITSP body site value set (PHVS_BodySite_HITSP: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=9A2D4051-3AA6-42EB-AE88-541C9094B0FB) In older versions, when using OBR-15 use HL70070 for OBR-15.1 and HL70163 for OBR-15.4. " Specimen Type (SPM 4): "Codes from either HL70487_USL or SNOMED_CT_USL Specimen hierarchy codes may be used. It should be noted that in the future SNOMED CT Specimen hierarchy may become the only recommended value set so trading partners should consider moving in that direction. LRI_NDBS_Component Value Set Fixed to: '440500007^Blood spot specimen^SCT' " LOINC (Home – LOINC) SNOMED CT (Home | SNOMED International) UCUM (Unified Code for Units of Measure (UCUM) at NLM (nih.gov)) LOINC - SNOMED agreement here (new agreement coming out 4q of 2024) Aggregating laboratory data answer set responses across many customers and identifying missing SCT codes might be helpful. Dan Rutz will explore whether a two column data with LRR name + distinct result. Or even just a list of distinct results (one column of unique data). |
Next steps |
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Cloud recording: https://duke.zoom.us/rec/share/4pahzFdATjGxiVPMB1LaYekD06mmrPnUYITsxyc0QxRoSDGuAolpZV9id8UEN1E1.5d_CCs5KgISGfILM
From Chat: