ArticleJournal of the American Medical Informatics Association : JAMIA2020
Opportunities at the intersection of work and health: Developing the occupational data for health information model.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Valley Fever Is an Occupational Illness: Let's Get the Data to Prevent It.American journal of industrial medicine · 2025Article
- Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.Scientific reports · 2025Article
- Assessing the role of social determinants of health in health disparities: The need for data on work.American journal of industrial medicine · 2024Article
- Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative framework.Frontiers in public health · 2024Article
- Occupational Contributions to Respiratory Health Disparities.Clinics in chest medicine · 2023Review
- Laying the Foundation for a Mesothelioma Patient Registry: Development of Data Collection Tools.International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study sought to develop an information model of data describing a person's work for use by health information technology (IT) systems to support clinical care, population health, and public health. MATERIALS AND
methodsResearchers from the National Institute for Occupational Safety and Health worked with stakeholders to define relationships and structure, vocabulary, and interoperability standards that would be useful and collectable in health IT systems.
resultsThe Occupational Data for Health (ODH) information model illustrates relationships and attributes for a person's employment status, retirement dates, past and present jobs, usual work, and combat zone periods. Key data about the work of a household member that could be relevant to the health of a minor were also modeled. Existing occupation and industry classification systems were extended to create more detailed value sets that enable self-reporting and support patient care. An ODH code system, available in the Public Health Information Network Vocabulary Access and Distribution System, was established to identify the remaining value sets. ODH templates were prepared in all 3 Health Level 7 Internationalinteroperability standard formats. DISCUSSION: The ODH information model suggests data elements ready for use by health IT systems in the United States. As new data elements and values are better defined and refined by stakeholders and feedback is obtained through experience using ODH in clinical settings, the model will be updated.
conclusionThe ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.