Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies

Lorraine J. Block; Erika Lozada-Perezmitre; Hwayoung Cho; Shauna Davies; Jisan Lee; Zerina Lokmic-Tomkins; Laura-Maria Peltonen; Lisiane Pruinelli; Lisa Reid; Jiyoun Song; Maxim Topaz; Hanna von Gerich; Pankaj Vyas

doi:10.1055/s-0043-1768746

Yearbook of Medical Informatics, Inhaltsverzeichnis

CC BY-NC-ND 4.0 · Yearb Med Inform 2023; 32(01): 036-047
DOI: 10.1055/s-0043-1768746

Special Section: Informatics for One Health

Working Group Contributions

Representation of Environmental Concepts Associated with Health Impacts in Computer Standardized Clinical Terminologies

Lorraine J. Block^*

¹University of British Columbia, School of Nursing, Vancouver, British Columbia, Canada

,

Erika Lozada-Perezmitre

²Benemerita Universidad Autonoma de Puebla, Nursing Faculty BUAP, Puebla, México

,

Hwayoung Cho

³University of Florida, Gainesville, Florida, United States

,

Shauna Davies

⁴University of Regina, Regina, Saskatchewan, Canada

,

Jisan Lee

⁵Department of Nursing, Gangneung-Wonju National University, Wonju, Republic of Korea

,

Zerina Lokmic-Tomkins

⁶School of Nursing and Midwifery, Monash University, 10 Chancellors Walk, Clayton, Melbourne, Victoria 3800, Australia

,

Laura-Maria Peltonen

⁷University of Turku and Turku University Hospital, Turku, Finland

,

Lisiane Pruinelli

⁸University of Florida, Gainesville, FL, USA

,

Lisa Reid

⁹Flinders University, Adelaide, South Australia, Australia

,

Jiyoun Song

¹⁰University of Pennsylvania School of Nursing, Philadelphia, PA, USA

,

Maxim Topaz

¹¹Columbia University & VNS Health, New York, New York, United States

,

Hanna von Gerich

¹²University of Turku, Department of Nursing Science, Turku University Hospital, Finland

,

Pankaj Vyas

¹³University of Arizona, College of Nursing, Tucson, AZ, United States

› Institutsangaben

Abstract

Summary

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.

Keywords

Nursing informatics - environmental health - standardized nursing terminology - systematized nomenclature of medicine - artificial intelligence

Volltext

Referenzen

References
1 Inter-Agency and Expert Group on SDG Indicators. Global indicator framework for the Sustainable Development Goals and targets of the 2030 Agenda for Sustainable Development. New York: United Nations Statistics Division: Development Data and Outreach Branch, Department of Economic and Social Affairs (DESA); 2022a. [Available from: https://unstats.un.org/sdgs/indicators/Global%20Indicator%20Framework%20after%202020%20review_Eng.pdf]
2 Hardy E, Standley CJ. Identifying intersectional feminist principles in the One Health framework. One Health 2022;15:100404-. doi:10.1016/j.onehlt.2022.100404.
3 Mackenzie JS, Jeggo M. The one health approach-why is it so important? Trop Med Infect Dis 2019;4(2):88. doi:10.3390/tropicalmed4020088.
4 Executive Board. Health and the environment: climate and health: outcome of the WHO Conference on Health and Climate: report by the Secretariat: World Health Organization; 2015. [Available from: https://apps.who.int/iris/handle/10665/251707].
5 Patz JA, Frumkin H, Holloway T, Vimont DJ, Haines A. Climate Change: Challenges and Opportunities for Global Health. JAMA 2014;312(15):1565-80. doi:10.1001/jama.2014.13186.
6 Ramirez-Andreotta MD, Walls R, Youens-Clark K, Blumberg K, Isaacs KE, Kaufmann D, et al. Alleviating Environmental Health Disparities Through Community Science and Data Integration. Front Sustain Food Syst 2021;5. doi:10.3389/fsufs.2021.620470.
7 Yang X, Geng L. An Integrated Analysis of Social, Economic, and Environmental Indicators' Effects on Public Health and Health Inequality Globally: From the Perspective of Vulnerability. Soc Indic Res 2022;162(3):1261-79. doi:10.1007/s11205-022-02877-x.
8 Morelli J. Environmental Sustainability: A Definition for Environmental Professionals. J Environ Sci 2011;1(1). doi:10.14448/jes.01.0002.
9 Cimino JJ. Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med 1998;37(4-5):394-403. [ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3415631/]
10 International Health Terminology Standards Development Organisation: SNOMED International. (2022). Use SNOMED CT. [https://www.snomed.org/snomed-ct/Use-SNOMED-CT].
11 Coenen A. The International Classification for Nursing Practice (ICNP®) Programme: Advancing a Unifying Framework for Nursing. Online J Issues Nurs 2003;8(2). doi: 10.3912/OJIN.Vol8No02PPT01
12 Hardiker N. Harmonising ICNP and SNOMED CT: A Model for Effective Collaboration. Stud Health Technol Inform 2016;225:744-5. doi: 10.3233/978-1-61499-658-3-744.
13 International Health Terminology Standards Development Organisation: SNOMED International. New ICNP-SNOMED CT Nursing Practice Refset is first product to increase nursing visibility, safety and quality 2021. [Available from: https://www.snomed.org/news-and-events/articles/ICNP-SNOMEDCT-Nursing-Practice-Reference-Set].
14 Block LJ, Ronquillo C, Hardiker NR, Wong ST, Currie LM. Mapping of Wound Infection Concepts. 2020. In: Nurses and Midwives in the Digital Age [Internet]. Geneva: IOS Press EBooksStud Health Technol Inform; [431-5]. doi.org/10.3233/SHTI210764.
15 Government of Canada. TCPS 2 (2018) - Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans. 2018. [Available from: https://ethics.gc.ca/eng/policy-politique_tcps2-eptc2_2018.html]
16 Inter-Agency and Expert Group on SDG Indicators. Tier Classification for Global SDG Indicators: as of 30 November 2022. New York: United Nations Statistics Division: Development Data and Outreach Branch, Department of Economic and Social Affairs (DESA); 2022b. [Available from: https://unstats.un.org/sdgs/files/Tier%20Classification%20of%20SDG%20Indicators_30%20Nov%202022_web.pdf].
17 International Health Terminology Standards Development Organisation: SNOMED International. SNOMED CT: Starter Guide London: SNOMED International; 2017. [Available from: https://confluence.ihtsdotools.org/display/DOCSTART].
18 Chinn PL, Kramer MK. Knowledge development in nursing: theory and process. 10th ed. St Louis: Elsevier; 2018.
19 Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. 11th ed. Baltimore: Wolters Kluwer Health; 2019.
20 Warren JJ, Coenen A. International Classification for Nursing Practice (ICNP): Most-frequently Asked Questions. J Am Med Inform Assoc 1998;5(4):335-6. doi:10.1136/jamia.1998.0050335.
21 Kim TY. Automating lexical cross-mapping of ICNP to SNOMED CT. Inform Health Soc Care 2016;41(1):64-77. doi:10.3109/17538157.2014.948173.
22 Kim TY, Hardiker N, Coenen A. Inter-terminology mapping of nursing problems. J Biomed Inform 2014;49:213-20. doi:10.1016/j.jbi.2014.03.001.
23 International Health Terminology Standards Development Organisation: SNOMED International. Snap2Snomed User Guide: SNOMED International; 2022. [Available from: https://confluence.ihtsdotools.org/display/S2SUG].
24 Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJL. Household catastrophic health expenditure: a multicountry analysis. The Lancet (British edition). 2003;362(9378):111-7. doi:10.1016/S0140-6736(03)13861-5.
25 Barenberg AJ, Basu D, Soylu C. The Effect of Public Health Expenditure on Infant Mortality: Evidence from a Panel of Indian States, 1983-1984 to 2011-2012. J Dev Stud 2017;53(10):1765-84. doi:10.1080/00220388.2016.1241384.
26 Bein M, Coker-Farrell EY. The association between medical spending and health status: A study of selected African countries. Malawi Med J 2020;32(1):37-44. doi:10.4314/mmj.v32i1.8.
27 Kiross GT, Chojenta C, Barker D, Loxton D. The effects of health expenditure on infant mortality in sub-Saharan Africa: evidence from panel data analysis. Health Econ Rev 2020;10(1):5. doi:10.1186/s13561-020-00262-3.
28 Vale MD, Perkins DW. Discuss and remember: Clinician strategies for integrating social determinants of health in patient records and care. Soc Sci Med 2022;315:115548-. doi:10.1016/j.socscimed.2022.115548.
29 Huang Y, Chen H, Han B, Liu C, Chuang H, Lin L, et al. Personal exposure to household particulate matter, household activities and heart rate variability among housewives. PLOS One 2014;9(3):e89969. doi:10.1371/journal.pone.0089969.
30 Martin D, Bélanger D, Gosselin P, Brazeau J, Furgal C, Déry S. Drinking Water and Potential Threats to Human Health in Nunavik: Adaptation Strategies under Climate Change Conditions. Arctic 2007;60(2):195-202. doi:10.14430/arctic244.
31 Thompson LM. Household Air Pollution from Cooking Fires Is a Global Problem. Am J Nurs 2019;119(11):61-4. doi:10.1097/01.NAJ.0000605388.37442.ec.
32 International Health Terminology Standards Development Organisation: SNOMED International. Data Analytics with SNOMED CT 2021. [Available from: https://confluence.ihtsdotools.org/display/DOCANLYT/Data+Analytics+with+SNOMED+CT?preview=/123898500/123898612/doc_SNOMEDCTDataAnalytics_Current-en-US_INT_20210311.pdf].
33 Soriano IM, Peña JLC, Breis JTF, Román IS, Barriuso AA, Baraza DG, editors. Snomed2Vec: Representation of SNOMED CT Terms with Word2Vec. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS); 2019 5-7 June.
34 Topaz M, Lai K, Dowding D, Lei VJ, Zisberg A, Bowles KH, et al. Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application. Int J Nurs Stud 2016;64:25-31. doi:10.1016/j.ijnurstu.2016.09.0132019. doi:10.1109/CBMS.2019.00138.
35 Chang E, Mostafa J. The use of SNOMED CT, 2013-2020: A literature review. J Am Med Inform Assoc 2021;28(9):2017-26. doi:doi.org/10.1093/jamia/ocab084.
36 Gaudet-Blavignac C, Foufi V, Bjelogrlic M, Lovis C. Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review. JMIR 2021;23(1):e24594-e. doi:10.2196/24594.