Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems

Sripriya Rajamani^{1

2

3}, Hanna Chakoian³, Aaron Bieringer³, Anna Lintelmann³, Jeffrey Sanders³, Rachel Ostadkar³, Amy Saupe³, Genny Grilli³, Katie White⁴, Sarah Solarz³, Genevieve B Melton^{2

5

6}

Affiliations

¹ Informatics Program, Population Health and Systems Cooperative, School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.
² Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, Minnesota, USA.
³ Infectious Disease Epidemiology, Prevention and Control Division, Minnesota Department of Health, Saint Paul, Minnesota, USA.
⁴ Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
⁵ Department of Surgery, University of Minnesota Medical School, University of Minnesota, Minneapolis, Minnesota, USA.
⁶ Center for Learning Health System Sciences, University of Minnesota Medical School and School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

PMID: 37545982
PMCID: PMC10400481
DOI: 10.1093/jamiaopen/ooad055

Case Reports

Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems

Sripriya Rajamani et al. JAMIA Open. 2023.

. 2023 Aug 3;6(3):ooad055.

doi: 10.1093/jamiaopen/ooad055. eCollection 2023 Oct.

Authors

Affiliations

¹ Informatics Program, Population Health and Systems Cooperative, School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.
² Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, Minnesota, USA.
³ Infectious Disease Epidemiology, Prevention and Control Division, Minnesota Department of Health, Saint Paul, Minnesota, USA.
⁴ Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
⁵ Department of Surgery, University of Minnesota Medical School, University of Minnesota, Minneapolis, Minnesota, USA.
⁶ Center for Learning Health System Sciences, University of Minnesota Medical School and School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

PMID: 37545982
PMCID: PMC10400481
DOI: 10.1093/jamiaopen/ooad055

Abstract

Public health information systems have historically been siloed with limited interoperability. The State of Minnesota's disease surveillance system (Minnesota Electronic Disease Surveillance System: MEDSS, ∼12 million total reportable events) and immunization information system (Minnesota Immunization Information Connection: MIIC, ∼130 million total immunizations) lacked interoperability between them and data exchange was fully manual. An interoperability tool based on national standards (HL7 and SOAP/web services) for query and response was developed for electronic vaccination data exchange from MIIC into MEDSS by soliciting stakeholder requirements (n = 39) and mapping MIIC vaccine codes (n = 294) to corresponding MEDSS product codes (n = 48). The tool was implemented in March 2022 and incorporates MIIC data into a new vaccination form in MEDSS with mapping of 30 data elements including MIIC demographics, vaccination history, and vaccine forecast. The tool was evaluated using mixed methods (quantitative analysis of user time, clicks, queries; qualitative review with users). Comparison of key tasks demonstrated efficiencies including vaccination data access (before: 50 clicks, >2 min; after: 4 clicks, 8 s) which translated directly to staff effort (before: 5 h/week; after: ∼17 min/week). This case study demonstrates the contribution of improving public health systems interoperability, ultimately with the goal of enhanced data-driven decision-making and public health surveillance.

Keywords: disease surveillance; immunization information system; interoperability; public health informatics; standards; vaccination.

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Conflict of interest statement

None declared.

Figures

**Figure 1.**
Overview of MEDSS to MIIC query process.

**Figure 2.**
Screenshot of MIIC query results.

**Figure 3.**
Queries from MEDSS to MIIC using the interoperability tool.

See this image and copyright information in PMC

References

1. Johns Hopkins University. Corona Virus Resource Center 2022. 2020. https://coronavirus.jhu.edu/map.html. Accessed January 16, 2021.
1. Centers for Disease Control and Prevention (CDC). 2022 Monkeypox Outbreak Global Map 2022. https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html. Accessed September 25, 2022.
1. Centers for Disease Control and Prevention (CDC). Global Measles Outbreaks 2022. https://www.cdc.gov/globalhealth/measles/data/global-measles-outbreaks.html. Accessed October 31, 2022.
1. New York State Department of Health. Protecting New Yorkers through Immunization 2022. https://health.ny.gov/press/releases/2022/2022-09-09_polio_immunization.htm. Accessed September 25, 2022.
1. Council of State and Territorial Epidemiologists (CSTE). Driving Public Health in the Fast Lane: The Urgent Need for a 21st Century Data Superhighway. 2019. https://resources.cste.org/data-superhighway/mobile/index.html. Accessed January 23, 2021.

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Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems

Affiliations

Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems

Authors

Affiliations

Abstract

Conflict of interest statement

Figures

References

Publication types

LinkOut - more resources

Full Text Sources