0
Integrating SNOMED CT with other Meaningful
Use vocabulary standards
(LOINC, RxNorm, HCPCS, CPT-4) and billing
terminologi...
Landscape of many standards

2
HIMSS14, February 26, Orlando, FL

ROUNDTABLE ON SEMANTIC
INTEROPERABILITY
3
UMLS
Eruption
SCT:1806006

rash NOS
ICD-10:R21

Cutaneous eruption
SCT:112625008

Exanthema C0015230
4
UMLS

Eruption
Cutaneous NOS
rash eruption
SCT:1806006
SCT:112625008
ICD-10:R21

Exanthema C0015230
5
Dealing with heterogeneous sources

UMLS

MU-oriented

6
Login: showcasedemo
Pass: showcasedemo
Use the link or
google clinminer

Click on demo

7
Demo and
evaluation:
100 000 clinical
avatars
x
90 days
x
genotypeguided warfarin
dosing
8
Clinical Avatars

11 MILLION OBSERVATIONS
(20 TERMS)
Custom UMLS-based terminology server
RxNorm  UMLS
SNOMED CT  UMLS
Medication reconciliation via National Drug
Code (NDC) and RxNorm
https://clinminer.hmgc.mcw.edu/clinminer#ontology/search...
Integrated querying and reporting

14
How does it work with real EHR data?

15
Pilot cohort
Transformed
via UMLS

Froedtert

Epic Clarity
reports

ClinMiner

LDS 2/16

16
1.5 million observations (7000 terms)

17
Limitations?

WE NEED BETTER
LOINC – SNOMED CT
MAPPINGS
18
LOINC is more granular

19
CPT maps to SNOMED CT and MedDRA

20
But not to LOINC

21
Some tests map on LOINC part level

22
Endgame in semantic integration

23
Thank you
Mary Shimoyama PhD
Stacy Zacher
Glenn Bushee
Bradley Taylor
Clinical Avatars
Vincent A. Fusaro PhD
Peter J. Tone...
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Integrating SNOMED CT with other Meaningful Use vocabulary standards (LOINC, RxNorm, HCPCS, CPT-4) and billing terminologies (NDC, ICD-9, ICD-10) using the UMLS

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Presented at SNOMED CT Implementation Showcase held in Washington DC’s metro area, USA on the 10th-11th October 2013.

Abstract:
http://www.ihtsdo.org/show13/abstract14.pdf

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Transcript of "Integrating SNOMED CT with other Meaningful Use vocabulary standards (LOINC, RxNorm, HCPCS, CPT-4) and billing terminologies (NDC, ICD-9, ICD-10) using the UMLS"

  1. 1. Integrating SNOMED CT with other Meaningful Use vocabulary standards (LOINC, RxNorm, HCPCS, CPT-4) and billing terminologies (NDC, ICD-9, ICD-10) using the UMLS Tomasz Adamusiak MD PhD @7omasz 1
  2. 2. Landscape of many standards 2
  3. 3. HIMSS14, February 26, Orlando, FL ROUNDTABLE ON SEMANTIC INTEROPERABILITY 3
  4. 4. UMLS Eruption SCT:1806006 rash NOS ICD-10:R21 Cutaneous eruption SCT:112625008 Exanthema C0015230 4
  5. 5. UMLS Eruption Cutaneous NOS rash eruption SCT:1806006 SCT:112625008 ICD-10:R21 Exanthema C0015230 5
  6. 6. Dealing with heterogeneous sources UMLS MU-oriented 6
  7. 7. Login: showcasedemo Pass: showcasedemo Use the link or google clinminer Click on demo 7
  8. 8. Demo and evaluation: 100 000 clinical avatars x 90 days x genotypeguided warfarin dosing 8
  9. 9. Clinical Avatars 11 MILLION OBSERVATIONS (20 TERMS)
  10. 10. Custom UMLS-based terminology server
  11. 11. RxNorm  UMLS
  12. 12. SNOMED CT  UMLS
  13. 13. Medication reconciliation via National Drug Code (NDC) and RxNorm https://clinminer.hmgc.mcw.edu/clinminer#ontology/search/31722-331-01 31722-331-01 100 tablets of Warfarin Sodium 4 MG Camber Pharmaceuticals 13
  14. 14. Integrated querying and reporting 14
  15. 15. How does it work with real EHR data? 15
  16. 16. Pilot cohort Transformed via UMLS Froedtert Epic Clarity reports ClinMiner LDS 2/16 16
  17. 17. 1.5 million observations (7000 terms) 17
  18. 18. Limitations? WE NEED BETTER LOINC – SNOMED CT MAPPINGS 18
  19. 19. LOINC is more granular 19
  20. 20. CPT maps to SNOMED CT and MedDRA 20
  21. 21. But not to LOINC 21
  22. 22. Some tests map on LOINC part level 22
  23. 23. Endgame in semantic integration 23
  24. 24. Thank you Mary Shimoyama PhD Stacy Zacher Glenn Bushee Bradley Taylor Clinical Avatars Vincent A. Fusaro PhD Peter J. Tonellato PhD This project was funded in part by the Advancing a Healthier Wisconsin endowment at the Medical College of Wisconsin and the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through grant UL1 RR031973. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Laboratory for Personalized Medicine Harvard Medical School 24
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