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
1  Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States
2  Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States
,
Bret Heale
1  Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States
,
Steve Hasley
3  American College of Obstetricians and Gynecologists, Washington, District of Columbia, United States
,
Emily Decker
4  U.S. Department of Health and Human Services, Office of the Assistant Secretary for Health, Office of Population Affairs, Rockville, Maryland, United States
,
Brittni Frederiksen
4  U.S. Department of Health and Human Services, Office of the Assistant Secretary for Health, Office of Population Affairs, Rockville, Maryland, United States
,
Nathan Davis
1  Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States
,
Patrick Langford
1  Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States
,
Nadia Ramey
3  American College of Obstetricians and Gynecologists, Washington, District of Columbia, United States
,
Stanley M. Huff
1  Department of Biomedical Informatics, Intermountain Healthcare, Murray, Utah, United States
2  Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States
› Author Affiliations
Funding OPA authors performed this work under the employment of the federal government. ACOG authors performed this work under contract No. HHSP233201600276A.
Further Information

Publication History

06 August 2018

08 December 2018

Publication Date:
06 February 2019 (online)

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.

Protection of Human and Animal Subjects

This project did not involve human/animal subjects.