Stacey Marovich1, Genevieve Barkocy Luensman2, Barbara Wallace3, Eileen Storey2,3. 1. Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio, USA. 2. Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. 3. Professional Services Partners, Contractors with Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Wallace, Oak Park, IL, USA.
Abstract
OBJECTIVE: The 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 METHODS: Researchers 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. RESULTS: The 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. CONCLUSION: The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health. Published by Oxford University Press on behalf of the American Medical Informatics Association 2020. This work is written by US Government employees and is in the public domain in the US.
OBJECTIVE: The 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 METHODS: Researchers 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. RESULTS: The 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. CONCLUSION: The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health. Published by Oxford University Press on behalf of the American Medical Informatics Association 2020. This work is written by US Government employees and is in the public domain in the US.
Entities:
Keywords:
electronic health records; industry; occupation; population health; work
Authors: Eckardt Johanning; Pierre Auger; Philip R Morey; Chin S Yang; Ed Olmsted Journal: Environ Health Prev Med Date: 2013-11-20 Impact factor: 3.674
Authors: Matthew Groenewold; Linda Brown; Emily Smith; Marie Haring Sweeney; Rene Pana-Cryan; Theresa Schnorr Journal: Am J Ind Med Date: 2019-09-14 Impact factor: 3.079