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International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records
Open accessAbstract
There have been increasing calls for clinicians to document social determinants of health (SDOH) in electronic health records (EHRs). One potential source of SDOH in the EHRs is in the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Z codes (Z55–Z65). In February 2018, ICD-10-CM Official Guidelines for Coding and Reporting approved that all clinicians, not just the physicians, involved in the care of a patient can document SDOH using these Z codes. To examine the utilization rate of the ICD-10-CM Z codes using data from a large network of EHRs. We conducted a retrospective analysis of EHR data between 2015 to 2018 in the OneFlorida Clinical Research Consortium, 1 of the 13 Clinical Data Research Networks funded by Patient-Centered Outcomes Research Institute. We calculated the Z code utilization rate at both the encounter and patient levels. We found a low rate of utilization for these Z codes (270.61 per 100,000 at the encounter level and 2.03% at the patient level). We also found that the rate of utilization for these Z codes increased (from 255.62 to 292.79 per 100,000) since the official approval of Z code reporting from all clinicians by the American Hospital Association Coding Clinic and ICD-10-CM Official Guidelines for Coding and Reporting became effective in February 2018. The SDOH Z codes are rarely used by clinicians. Providing clear guidelines and incentives for documenting the Z codes can promote their use in EHRs. Improvements in the EHR systems are probably needed to better document SDOH.
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ICD-10-CM Z codes (Z55-Z65) are typically under-coded in individuals' health records.
“are typically under-coded in individuals’ health records”
From Documentation of individual-level social determinants of health among adults diagnosed with cancer in the United States (2025) · cites this paper as [16]
A study comparing state-level characteristics based on US Census data to the use of corresponding Z codes extracted from an EHR network in Florida concluded that there is under-recording of Z codes for patients facing social problems.
“Notably, a study comparing state-level characteristics based on US Census data to the use of corresponding Z codes extracted from an electronic health record (EHR) network in Florida concluded that there is under-recording of Z codes for patients facing social problems16.”
From Documentation of individual-level social determinants of health among adults diagnosed with cancer in the United States (2025) · cites this paper as [16]
Diagnostic codes indicating social determinants of health are standardized across systems but are rarely used by clinicians.
“Diagnostic codes (eg , ICD Z- codes) indicating SDoH such as “Problems relating to housing and economic circumstances” have the benefit of being standardized across systems, but in practice are rarely used by clinicians.4–6”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [5]
Three of the articles looked at the completeness of ICD Z- or V-codes, diagnostic codes that can be used by clinicians to collect social determinants of health data from patients.
“Three of the articles looked at the completeness of ICD Z- or V-codes, diagnostic codes that can be used by clinicians to collect SDoH data from patients.4–6”
From The quality of social determinants data in the electronic health record: a systematic review (2021) · cites this paper as [5]
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Cited by
Sorted by citations
The quality of social determinants data in the electronic health record: a systematic review
Cook, L. A., Sachs, J., & Weiskopf, N. G. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab199 · Cited by 153
Sandoval-Olascoaga, S., Venkataramani, A. S., & Arcaya, M. C. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.29041 · Cited by 41
Yu, Z., Yang, X., Dang, C., Wu, S., Adekkanattu, P., Pathak, J., George, T. J., Hogan, W. R., Guo, Y., Bian, J., et al. (2021) · arXiv · doi:10.48550/arxiv.2108.04949 · Cited by 38
Self-citationA Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes
Huang, Y., Guo, J., Donahoo, W. T., Lee, Y. A., Fan, Z., Lu, Y., Chen, W.-H., Tang, H., Bilello, L., Saguil, A. A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52960-9 · Cited by 14
Self-citationHsu, C.-Y., Henderson, G., Slejko, J. F., Hussain, A., Swain, R. S., Kalesan, B., Huang, P.-L., & Onukwugha, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-13825-3 · Cited by 5
Metadata
- Authors
- Guo, Y., Chen, Z., Xu, K., George, T. J., Wu, Y., Hogan, W., Shenkman, E. A., & Bian, J.
- Affiliations
- University of Florida (US)
- Corresponding author
- Bian, Jiang
- ORCID
- Venue
- Medicine
- Published
- 2020-12-24
- Volume
- 99
- Issue
- 52
- Pages
- e23818
- ISSN
- 0025-7974 (ISSN-L)
- 1536-5964
- PMC
- PMC7769291
- OpenAlex
- W3115990498
- Cited by
- 95
- References
- 2
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 16 · 2023: 22 · 2022: 15 · 2021: 7
- FWCI
- 9.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Medicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (CA246418, R21 CA245858)
- National Institute on Aging (R21 AG068717)
- Patient-Centered Outcomes Research Institute (ME-2018C3-14754)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- social determinants of health, electronic health records, clinical documentation, coding guidelines
- MeSH terms
- Humans, United States, Utilization Review, Outcome Assessment, Health Care, Guideline Adherence, International Classification of Diseases, Electronic Health Records, Quality Improvement, Social Determinants of Health
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