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

Author:

Rajamani Sripriya123ORCID,Chakoian Hanna3,Bieringer Aaron3,Lintelmann Anna3,Sanders Jeffrey3,Ostadkar Rachel3,Saupe Amy3,Grilli Genny3,White Katie4,Solarz Sarah3,Melton Genevieve B256ORCID

Affiliation:

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

Abstract

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.

Funder

Agency for Healthcare Research and Quality

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference52 articles.

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