Lessons Learned in Creating Interoperable Fast Healthcare Interoperability Resources Profiles for Large-Scale Public Health Programs

Susan A. Matney; Bret Heale; Steve Hasley; Emily Decker; Brittni Frederiksen; Nathan Davis; Patrick Langford; Nadia Ramey; Stanley M. Huff

doi:10.1055/s-0038-1677527

Applied Clinical Informatics, Table of Contents

Appl Clin Inform 2019; 10(01): 087-095
DOI: 10.1055/s-0038-1677527

State of the Art/Best Practice Paper

Georg Thieme Verlag KG Stuttgart · New York

Lessons Learned in Creating Interoperable Fast Healthcare Interoperability Resources Profiles for Large-Scale Public Health Programs

Susan A. Matney

¹Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States

²Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States

,

Bret Heale

¹Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States

,

Steve Hasley

³American College of Obstetricians and Gynecologists, Washington, District of Columbia, United States

,

Emily Decker

⁴U.S. Department of Health and Human Services, Office of the Assistant Secretary for Health, Office of Population Affairs, Rockville, Maryland, United States

,

Brittni Frederiksen

⁴U.S. Department of Health and Human Services, Office of the Assistant Secretary for Health, Office of Population Affairs, Rockville, Maryland, United States

,

Nathan Davis

¹Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States

,

Patrick Langford

¹Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States

,

Nadia Ramey

³American College of Obstetricians and Gynecologists, Washington, District of Columbia, United States

,

Stanley M. Huff

¹Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States

²Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States

› Author Affiliations

Abstract

Objective This article describes lessons learned from the collaborative creation of logical models and standard Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) profiles for family planning and reproductive health. The National Health Service delivery program will use the FHIR profiles to improve federal reporting, program monitoring, and quality improvement efforts.

Materials and Methods Organizational frameworks, work processes, and artifact testing to create FHIR profiles are described.

Results Logical models and FHIR profiles for the Family Planning Annual Report 2.0 dataset have been created and validated.

Discussion Using clinical element models and FHIR to meet the needs of a real-world use case has been accomplished but has also demonstrated the need for additional tooling, terminology services, and application sandbox development.

Conclusion FHIR profiles may reduce the administrative burden for the reporting of federally mandated program data.

Keywords

family planning - health information - interoperability - SNOMED CT - LOINC - HL7 FHIR - reproductive health

Full Text

References

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