TY - JOUR
T1 - Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies
AU - Block, Lorraine J.
AU - Lozada-Perezmitre, Erika
AU - Cho, Hwayoung
AU - Davies, Shauna
AU - Lee, Jisan
AU - Lokmic-Tomkins, Zerina
AU - Peltonen, Laura Maria
AU - Pruinelli, Lisiane
AU - Reid, Lisa
AU - Song, Jiyoun
AU - Topaz, Maxim
AU - Von Gerich, Hanna
AU - Vyas, Pankaj
N1 - Funding Information:
Acknowledgements We wish to thank Ms. Raluca Radu for her insights related to global, environmental, and health concepts, organizations and literature sources.
Publisher Copyright:
© The Author(s) 2023.
PY - 2023/12/26
Y1 - 2023/12/26
N2 - Objective: To evaluate the representation of environmental concepts associated with health impacts in standardized clinical terminologies. Methods: This study used a descriptive approach with methods informed by a procedural framework for standardized clinical terminology mapping. The United Nations Global Indicator Framework for the Sustainable Development Goals and Targets was used as the source document for concept extraction. The target terminologies were the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and the International Classification for Nursing Practice (ICNP). Manual and automated mapping methods were utilized. The lists of candidate matches were reviewed and iterated until a final mapping match list was achieved. Results: A total of 119 concepts with 133 mapping matches were added to the final SNOMED CT list. Fifty-three (39.8%) were direct matches, 37 (27.8%) were narrower than matches, 35 (26.3%) were broader than matches, and 8 (6%) had no matches. A total of 26 concepts with 27 matches were added to the final ICNP list. Eight (29.6%) were direct matches, 4 (14.8%) were narrower than, 7 (25.9%) were broader than, and 8 (29.6%) were no matches. Conclusion: Following this evaluation, both strengths and gaps were identified. Gaps in terminology representation included concepts related to cost expenditures, affordability, community engagement, water, air and sanitation. The inclusion of these concepts is necessary to advance the clinical reporting of these environmental and sustainability indicators. As environmental concepts encoded in standardized terminologies expand, additional insights into data and health conditions, research, education, and policy-level decision-making will be identified.
AB - Objective: To evaluate the representation of environmental concepts associated with health impacts in standardized clinical terminologies. Methods: This study used a descriptive approach with methods informed by a procedural framework for standardized clinical terminology mapping. The United Nations Global Indicator Framework for the Sustainable Development Goals and Targets was used as the source document for concept extraction. The target terminologies were the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and the International Classification for Nursing Practice (ICNP). Manual and automated mapping methods were utilized. The lists of candidate matches were reviewed and iterated until a final mapping match list was achieved. Results: A total of 119 concepts with 133 mapping matches were added to the final SNOMED CT list. Fifty-three (39.8%) were direct matches, 37 (27.8%) were narrower than matches, 35 (26.3%) were broader than matches, and 8 (6%) had no matches. A total of 26 concepts with 27 matches were added to the final ICNP list. Eight (29.6%) were direct matches, 4 (14.8%) were narrower than, 7 (25.9%) were broader than, and 8 (29.6%) were no matches. Conclusion: Following this evaluation, both strengths and gaps were identified. Gaps in terminology representation included concepts related to cost expenditures, affordability, community engagement, water, air and sanitation. The inclusion of these concepts is necessary to advance the clinical reporting of these environmental and sustainability indicators. As environmental concepts encoded in standardized terminologies expand, additional insights into data and health conditions, research, education, and policy-level decision-making will be identified.
KW - artificial intelligence
KW - environmental health
KW - Nursing informatics
KW - standardized nursing terminology
KW - systematized nomenclature of medicine
UR - http://www.scopus.com/inward/record.url?scp=85180888382&partnerID=8YFLogxK
U2 - 10.1055/s-0043-1768746
DO - 10.1055/s-0043-1768746
M3 - Article
C2 - 38147848
AN - SCOPUS:85180888382
SN - 2364-0502
VL - 32
SP - 36
EP - 47
JO - Yearbook of Medical Informatics
JF - Yearbook of Medical Informatics
IS - 1
ER -