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Public Health Information Standards

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Public Health Informatics and Information Systems

Part of the book series: Health Informatics ((HI))

Abstract

Standards are one of the most efficient ways to prevent data silos, achieve system interoperability, and promote the value of data. Electronic data interchange continues to increase in importance for all health systems, including public health systems. Public health has become a significant participant in health data standards discussions, and must continue to adopt and promote standards, and to participate in standards development as a fully-engaged partner.

Public health’s wide variety of partners lends challenges to adoption of standards. Its many partners must agree upon both the selection and value of standards in order to overcome significant barriers. Implementation of standards is complex and resource-intensive, sometimes unevenly more so for one of the partners involved in data interchange.

In this chapter, standards are categorized into process standards and data or content standards. After reviewing some common standards utilized in public health, three of the most prevalent—HL7®, LOINC®, and SNOMED CT®—are explored in greater detail.

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References

  1. HealthIT.gov. Introduction to the ISA. https://www.healthit.gov/isa/. Accessed 6 Oct 2019.

  2. HealthIT.gov. Policymaking, regulation, & strategy. https://www.healthit.gov/topic/meaningful-use-and-macra/meaningful-use-and-macra. Accessed 6 Oct 2019.

  3. Jernigan DB, Davies J, Sim A. Data standards in public health informatics. In: O’Carroll PW, Yasnoff WA, Ward ME, Ripp LH, Martin EL, editors. Public health informatics and information systems. Cham: Springer; 2003. p. 213–38.

    Chapter  Google Scholar 

  4. Centers for Disease Control and Prevention. HIV surveillance reports. https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html. Accessed 2 Nov 2019.

  5. International Organization for Standardization. ISO. https://www.iso.org/home.html. Accessed 6 Oct 2019.

  6. American National Standards Institute. About ANSI. https://www.ansi.org/about_ansi/overview/overview. Accessed 6 Oct 2019.

  7. International Organization for Standardization. Developing standards. Available from https://www.iso.org/developing-standards.html. Accessed 6 Oct 2019.

  8. Panackal AA, M’ikanatha NM, Tsui F, McMahon J, Wagner MM, Dixon BW, et al. Automatic electronic laboratory-based reporting of notifiable infectious diseases at a large health system. Emerg Infect Dis. 2002;8(7):685–91.

    Article  Google Scholar 

  9. Health Information Technology Standards Panel (HITSP). http://www.hitsp.org. Accessed 6 Oct 2019.

  10. Public Health Data Standards Consortium (PHDSC). Health IT standards. http://www.phdsc.org/standards/health-information-tech-standards.asp. Accessed 27 Mar 2013.

  11. HL7® International. HL7® version 3: reference information model (RIM). 2019. https://www.hl7.org/implement/standards/product_brief.cfm?product_id=77. Accessed 16 Oct 2019.

  12. Centers for Medicare and Medicaid Services, US Department of Health and Human Services; National Provider Identifier Standard. https://www.cms.gov/Regulations-and-Guidance/Administrative-Simplification/NationalProvIdentStand/index.html. Accessed 6 Oct 2019.

  13. U.S. Department of Health & Human Services, Summary of the HIPAA Security Rule. https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/index.html. Accessed 6 Oct 2019.

  14. National Information Standards Organization, Understanding Metadata. http://groups.niso.org/apps/group_public/download.php/17446/Understanding%20Metadata.pdf. Accessed 6 Oct 2019.

  15. The Office of the National Coordinator for Health Information Technology. Health IT playbook. Health information exchange. https://www.healthit.gov/playbook/health-information-exchange/. Accessed 6 Oct 2019.

  16. Health Level Seven International. HL7® International. www.hl7.org. Accessed 6 Oct 2019.

  17. LOINC® from Regenstrief. Logical observation identifiers names and codes (LOINC®). http://loinc.org/. Accessed 6 Oct 2019.

  18. Regenstrief Institute. Implementation LOINC®. https://www.regenstrief.org/implementation/loinc/. Accessed 6 Oct 2019.

  19. SNOMED International International Health Terminology Standards Development Organisation. http://www.snomed.org. Accessed 6 Oct 2019.

  20. American Medical Association. Practice Management CPT®. https://www.ama-assn.org/practice-management/cpt. Accessed 6 Oct 2019.

  21. USGS. US Board on Geographic Names. https://www.usgs.gov/core-science-systems/ngp/board-on-geographic-names. Accessed 6 Oct 2019.

  22. National Institute of Standards and Technology (NIST). Information Technology Laboratory. https://www.nist.gov/itl/itl-publications/federal-information-processing-standards-fips. Accessed 6 Oct 2019.

  23. More about Census Tracts FCC Form 477. 2015. https://transition.fcc.gov/form477/Geo/more_about_census_tracts.pdf. Accessed 21 Oct 2016.

  24. Bureau of Labor Statistics. Standard occupational classification. http://www.bls.gov/soc/home.htm. Accessed 3 Oct 2019.

  25. US Census Bureau, North American Industry Classification System. http://www.census.gov/eos/www/naics/. Accessed 3 Oct 2019.

  26. US Health Information Knowledgebase, Health Information Technology Standards Panel. http://ushik.ahrq.gov/ViewItemDetails?system=hitsp&itemKey=86685000. Accessed 3 Oct 2019.

  27. Office of the National Coordinator for Health IT. 2019 Interoperability Standards Advisory. www.healthit.gov/isa/sites/isa/files/inline-files/2019ISAReferenceEdition.pdf. Accessed 4 Nov 2019.

  28. Health Level Seven International. HL7 CDA® R2 Implementation Guide: Public Health Case Report, Release 2 - US Realm - the Electronic Initial Case Report (eICR). 2018. http://www.hl7.org/implement/standards/product_brief.cfm. Accessed Jul 21 2019.

  29. US Department of Health and Human Services Washington (DC): Office of the National Coordinator for Health Information Technology (US). Health information technology: initial set of standards, implementation specifications, and certification criteria for electronic health record technology. Regulation Identification Number 0991-AB58. 2010.

    Google Scholar 

  30. Lantana Consulting Group for NIST. Templated CDA: key concept for interoperability. 2011. https://www.nist.gov/sites/default/files/templated_cda-key_concept_for_interoperability_0.pdf. Accessed 4 Oct 2019.

  31. FHIMS.org. Background on the FHIM. http://www.fhims.org/background.html. Accessed 3 Oct 2019.

  32. HL7® FHIR. Introducing HL7® FHIR. https://www.hl7.org/fhir/summary.html. Accessed 4 Nov 2019.

  33. HL7® FHIR. Electronic Case Reporting (eCR) Implementation Guide [current available ballot version]. http://hl7.org/fhir/uv/ecr/2018Jan/index.html. Accessed 4 Nov 2019.

  34. U.S. National Library of Medicine. SNOMED CT® Browsers. https://www.nlm.nih.gov/research/umls/Snomed/snomed_browsers.html. Accessed 16 Oct 2019.

  35. Elsevier. Artificial intelligence in medicine. https://www.journals.elsevier.com/artificial-intelligence-in-medicine/. Accessed 16 Oct 2019.

  36. Salto-Tellez M, Maxwell P, Hamilton PW. Artificial intelligence - the third revolution in pathology. Histopathology. 2019;74(3):372–6.

    Article  Google Scholar 

  37. The OBO Foundry. https://en.wikipedia.org/wiki/Open_Biomedical_Ontologies. Accessed 23 Oct 2019.

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Author information

Authors and Affiliations

  1. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA

    J. A. Magnuson

  2. Vernetzt, LLC, Wilton, CA, USA

    Riki Merrick

  3. APHL, Silver Spring, MD, USA

    Riki Merrick

  4. SNOMED International, London, UK

    James T. Case

Authors
  1. J. A. Magnuson
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  2. Riki Merrick
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  3. James T. Case
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Corresponding author

Correspondence to J. A. Magnuson .

Editor information

Editors and Affiliations

  1. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA

    J.A. Magnuson

  2. Department of Epidemiology, Indiana University, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA

    Brian E. Dixon

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Magnuson, J.A., Merrick, R., Case, J.T. (2020). Public Health Information Standards. In: Magnuson, J., Dixon, B. (eds) Public Health Informatics and Information Systems . Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-41215-9_8

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  • DOI: https://doi.org/10.1007/978-3-030-41215-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41214-2

  • Online ISBN: 978-3-030-41215-9

  • eBook Packages: MedicineMedicine (R0)

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