TY - GEN
T1 - Enrichment of SNOMED CT Ophthalmology Component to Support EHR Coding
AU - Liu, Hao
AU - Hildebrand, P. Lloyd
AU - Perl, Yehoshua
AU - Geller, James
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/21
Y1 - 2019/1/21
N2 - The US government has offered major financial incentives to encourage MDs, including ophthalmologists, to adopt Electronic Health Records (EHRs) in their practices. SNOMED CT was designated to be the EHR clinical terminology of choice. However, ophthalmologists in the US do not use SNOMED CT coding in their EHRs in spite of the Convergent Ophthalmology Terminology project by the American Academy of Ophthalmology, which added about 9,000 ophthalmology concepts to SNOMED CT. Hence, the intended interoperability and meaningful use have not been achieved. We examine the various reasons causing this lack of adoption of SNOMED CT, and we address how to enrich the ophthalmology component (OC) of SNOMED CT to create an interface terminology that better supports the EHR coding needs of ophthalmologists. Our proposed enhancements take into consideration the systematic workflow of eye patient visits, enriching the modeling of OC by adding extra part\-of relationships that accelerate access to necessary concepts.
AB - The US government has offered major financial incentives to encourage MDs, including ophthalmologists, to adopt Electronic Health Records (EHRs) in their practices. SNOMED CT was designated to be the EHR clinical terminology of choice. However, ophthalmologists in the US do not use SNOMED CT coding in their EHRs in spite of the Convergent Ophthalmology Terminology project by the American Academy of Ophthalmology, which added about 9,000 ophthalmology concepts to SNOMED CT. Hence, the intended interoperability and meaningful use have not been achieved. We examine the various reasons causing this lack of adoption of SNOMED CT, and we address how to enrich the ophthalmology component (OC) of SNOMED CT to create an interface terminology that better supports the EHR coding needs of ophthalmologists. Our proposed enhancements take into consideration the systematic workflow of eye patient visits, enriching the modeling of OC by adding extra part\-of relationships that accelerate access to necessary concepts.
KW - EHR coding
KW - Interface ontology
KW - Ophthalmology
KW - SNOMED CT
KW - Terminology enrichment
UR - https://www.scopus.com/pages/publications/85062493403
U2 - 10.1109/BIBM.2018.8621272
DO - 10.1109/BIBM.2018.8621272
M3 - Conference contribution
AN - SCOPUS:85062493403
T3 - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
SP - 1990
EP - 1997
BT - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
A2 - Schmidt, Harald
A2 - Griol, David
A2 - Wang, Haiying
A2 - Baumbach, Jan
A2 - Zheng, Huiru
A2 - Callejas, Zoraida
A2 - Hu, Xiaohua
A2 - Dickerson, Julie
A2 - Zhang, Le
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Y2 - 3 December 2018 through 6 December 2018
ER -