# Advancing Population and Public health Reporting and Outcomes with Vaccination data Exchange (APPROVE)

> **NIH AHRQ R03** · UNIVERSITY OF MINNESOTA · 2021 · $99,606

## Abstract

Project Abstract
The response to the COVID-19 pandemic in the United States has underscored the need and importance of a
robust public health infrastructure. This is occurring in the larger context of increasing reportable infectious
diseases over the past decade. Surveillance of reportable infectious diseases (including COVID-19) and
corresponding vaccination coverage are coordinated endeavors in public health but known to be complex due
to the quagmire of information systems and organizations. Despite advances in technology, many public health
HIT systems do not have robust interoperability (seamless electronic data exchange). This study addresses a
knowledge-gap by evaluation of interoperability approaches for electronic vaccination data exchange between
HIT systems for infectious disease surveillance, vaccinations and electronic health records (EHRs). This
interoperability evaluation will be guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and
Maintenance) implementation framework. Aim 1 will focus on a novel interoperability tool for electronic
vaccination data exchange within the public health realm and characterize the enablers and barriers to its use.
Aim 2 will evaluate the use of an evolving interoperability tool for electronic vaccination data exchange across
public health and EHRs in clinical care. The study is innovative as it evaluates interoperability tools and
approaches across key information systems to facilitate infectious disease surveillance and quality of healthcare.
This work is of paramount importance and will be timely as COVID-19 vaccines become available and for
understanding effective surveillance strategies for a breadth of vaccine-preventable diseases. The overarching
goal of this work is to enhance data-driven decision-making and ultimately healthcare quality by facilitating data
exchange between HIT systems within public health and across public health and clinical care. While the study
will be done in the State of Minnesota, the research findings are generalizable and applicable to public health
settings in other states. The learnings can be utilized for enhancing interoperable electronic data exchanges in
clinical care and improving health outcomes.

## Key facts

- **NIH application ID:** 10351155
- **Project number:** 1R03HS028693-01
- **Recipient organization:** UNIVERSITY OF MINNESOTA
- **Principal Investigator:** Sripriya Rajamani
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** AHRQ
- **Fiscal year:** 2021
- **Award amount:** $99,606
- **Award type:** 1
- **Project period:** 2021-09-30 → 2023-09-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10351155

## Citation

> US National Institutes of Health, RePORTER application 10351155, Advancing Population and Public health Reporting and Outcomes with Vaccination data Exchange (APPROVE) (1R03HS028693-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10351155. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*