Abstract
The vision for management of immunization information is availability of real-time consolidated data and services for all ages, to clinical, public health, and other stakeholders. This is being executed through Immunization Information Systems (IISs), which are population-based and confidential computerized systems present in most US states and territories. Immunization Information Systems offer many functionalities, such as immunization assessment reports, client follow-up, reminder/recall feature, vaccine management tools, state-supplied vaccine ordering, comprehensive immunization history, clinical decision support/vaccine forecasting and recommendations, data processing, and data exchange. This perspective article will present various informatics tools in an IIS, in the context of the Minnesota Immunization Information Connection.
Immunization Information Systems
The vision for management of immunization information is availability of real-time consolidated data and services for all ages, to clinical, public health, and other stakeholders. This is being executed through Immunization Information Systems (IISs), which are population-based and confidential computerized systems present in most US states and territories. 1 The IIS Support Branch at the Centers for Disease Control and Prevention (CDC) assists in the advancement of IISs to support the public health goal of protection against vaccine-preventable diseases. A total of 64 immunization program awardees (50 states, 5 cities, the District of Columbia [DC], and 8 territories) receive funding under section 317b of the Public Health Service Act to support IIS operations. 1 Figure 1 presents the percentage of children aged <6 years participating in an IIS across the United States, and IIS in Minnesota has ⩾95% participation rate. 2

Participation in an Immunization Information System for children aged <6 years.
Among the many strategies to improve immunization compliance, adoption of IISs is increasingly recognized by various studies and taskforce reports as a key and effective tactic.3,4 Immunization Information Systems have the unique advantage of holding immunization data across various providers over time, thereby offering comprehensive vaccination histories. Immunization Information Systems serve as a powerful informatics strategy to support vaccinations at both individual and population levels by offering various tools. These range from immunization assessment reports, client follow-up with reminder/recall, state-supplied vaccine ordering capability, and clinical decision support for immunizations (CDSi) with vaccine forecasting algorithms based on recommendations from Advisory Committee on Immunization Practices (ACIP). 5
Minnesota Immunization Information Connection
Development and Evolution of MIIC
Minnesota’s IIS, the Minnesota Immunization Information Connection (MIIC), 6 has been operational since 2002. It existed as a series of regional registries before merging together as a statewide system. MIIC was adopted from the Wisconsin Immunization Registry (WIR) in 2002 with Minnesota-specific modifications. The registry was designed as a scalable multitier application to support the entry of client demographic and immunization data via the internet and through the batch loading of legacy immunization information. Currently, 18 states or municipalities have adopted the WIR, which is a public domain system. 7
MIIC 8 is a well-established and robust registry with an increasing number of immunizations each year (refer Figure 2). MIIC provides the most comprehensive source of immunization records in the state. MIIC is one of the 6 IIS “sentinel sites,” a recognition for achieving high data quality standards to use their IISs for program evaluation and vaccine use assessments. There is a regional and state partnership in the management and execution of day-to-day MIIC user training, promotion, and enhancements.

Number of immunizations in MIIC, July 2003 to April 2016.
Data and Tools in MIIC
MIIC is a population-based system for the state of Minnesota that contains data on individuals across all age groups and their immunizations. Currently, MIIC 8 holds more than 78 million immunizations for 7.8 million individuals over their lifespan (data current as of April 2016). Nearly all (99%) children under 6 years of age have 2 or more immunizations on their MIIC 8 record, 80% of adolescents have 2 or more adolescent immunizations, and 90% of adults have at least 1 adult immunization in the application. MIIC 9 is a multifeatured immunization information system with numerous data connections for data input and exchange ranging from the state vital records system, electronic health records, and IIS in neighboring states. MIIC 9 provides numerous outputs in the form of reports and offers functionalities that support the delivery and tracking of immunizations. The various informatics tools offered by MIIC and its operations in context of health systems are presented in Figure 3, and some of the MIIC features are highlighted in the following sections.

Number of active organizations in MIIC. CDS indicates clinical decision support; EHR, electronic health record; IIS, Immunization Information System.
MIIC Users
MIIC activities are governed by the Minnesota Immunization Data Sharing Law (§144.3351). 10 The state statute allows for immunization data sharing without consent of the patient across a broad group of organizations, including child care facilities, schools, local public health, as well as Minnesota-licensed providers such as physicians, nurses, and social workers. Provider participation in MIIC is high, with all local public health agencies and nearly all primary care providers and hospitals in the state participating. In recent years, there have been marked increases in participation among pharmacies and specialty clinics. Overall, there are approximately 4972 active organizations in MIIC ranging from primary care clinics, specialty providers, hospitals, pharmacy, and public health (refer Figure 4) and approximately 8000 active MIIC users. 8 Users have role-based access to consolidated immunization records for their clients, client-specific immunization clinical decision support, tools for immunization assessment and outreach, as well as functionality for ordering and managing state-supplied vaccine.

Conceptual model of informatics tools in MIIC.
Immunization Assessment Reports
The assessment reports 11 are popular among providers and local public health, especially because almost all MIIC user types have access to run these reports for their own organizations (refer Figure 5). The pediatric reports present vaccine coverage data for 24- to 35-month-old children associated with the organization. The reports include up-to-date (UTD) percent by individual vaccine by the age of 24 months, as well as the primary childhood series (4:3:1:3:4:1:4). A separate report produces a list of children not UTD by 24 months. Current assessment functionality also includes an adolescent immunization report, which displays coverage rates for the adolescent suite of vaccines: Tdap, MCV4, MCV4 booster, +1 human papillomavirus (HPV), and +3 HPV for 13- to 17-year-olds. This report also includes a missed opportunities calculation, which is based on a visit where an immunization was administered in the last 12 months for a patient in the assessment group and Tdap, MCV4, and/or HPV vaccines could have been given but were not. The adolescent and childhood reports were further enhanced by adding the Healthy People 2020 goals for each vaccine (if the vaccine had a HP 2020 goal) and included an annually updated statewide average coverage rate for each vaccine. These additions were meant to help providers contextualize their coverage rates and incentivize improvement planning.

Vaccination assessment reports in MIIC.
Client Follow-Up Feature and Reminder/Recall for Vaccinations
The client follow-up tool 12 in MIIC assists in identifying clients who are recommended and/or overdue for selected vaccinations and conducting follow-up with those individuals. Also known as reminder/recall, providers can use client follow-up to send messages to those due or past due for immunizations. This initiative can be population based or clinic based to improve vaccination rates. In the event of a vaccine-preventable disease outbreak, this feature will assist in identifying individuals who are not vaccinated and in need of follow-up. The client follow-up list can be customized based on age, vaccine status (due or overdue), and vaccines of interest. The outputs of this tool are client report, mailing labels, mail merge, and contact list. This is a great tool to support immunization quality initiatives.
Immunization Quality Improvement: Assessment, Feedback, Incentives, and eXchange
Assessment, Feedback, Incentives, and eXchange (AFIX) is a continuous quality improvement process used for improving immunization rates and practices at the provider level. 13 Assessment, Feedback, Incentives, and eXchange involves an interactive discussion, face-to-face sharing of immunization rates, and educating providers on the use of MIIC to improve immunization rates and practice. The Minnesota Department of Health (MDH) Immunization Program has used MIIC for conducting the federal AFIX visits since 2008. Assessment, Feedback, Incentives, and eXchange site visitors take MIIC-generated Assessment Reports to Minnesota Vaccines for Children (MnVFC) participating clinics, review the rates with those providers, and support providers with resources to increase use of MIIC to improve immunization rates. The recent CDC-led AFIX/IIS integration effort focuses on bringing all AFIX throughout the country to use IISs for quality improvement. Minnesota efforts have eliminated chart pulls and have increased MIIC use by users to drive their improvement activities.
State-Supplied Vaccine Ordering
The MnVFC program is the Minnesota version of the federally funded Vaccines for Children (VFC) program. Its goal is to ensure affordable vaccines for all children within their medical home. Due to increasing federal requirements, enhancements are being made to make MIIC a “one stop shop” for ordering and managing MDH vaccine over the next few years 14 (Figure 6). The ordering tool in MIIC offers several advanced features, such as email notifications, view pending or past orders, and the ability to track vaccine shipment information. The tool eventually will produce reports to help providers manage their state-supplied vaccine and allow them to track returned and wasted vaccine through MIIC instead of using a paper form. Currently, ordering in MIIC allows organizations with multiple facilities to order using only 1 sign-in. This cuts out the extra step of having to log in and out of the application to create an order for each facility.

Ordering of state-supplied vaccine in MIIC. DTaP indicates diphtheria and tetanus toxoids and acellular pertussis; Hib,
Immunization data exchange and interoperability
Statewide efforts to promote interoperable electronic health records (EHRs), 15 as well as the Centers for Medicare and Medicaid Services EHR incentive program (Meaningful Use), 16 contributed to a shift in the method of immunization reporting to MIIC. 17 In 2004, 90% of immunizations were directly entered into the IIS by a user. Today, 97% of immunizations are reported electronically, with half of those reported through batch method and the rest by real-time reporting (Figure 7). Standards-based reporting of immunizations (using HL7 exchange standard) to MIIC increased to 708 sites over the period of 3 years (2011-2014), along with growth in automated real-time reporting. 18 In addition, clinical users increasingly want access to the MIIC history and forecasting within their EHR, so this valuable tool needs to be part of clinical workflow.

Trends in reporting to MIIC.
Clinical Decision Support for Immunizations
An important aspect of IISs is CDSi consisting of vaccine forecasting algorithms to predict needed immunizations and to recognize gaps in immunizations based on Advisory Committee on Immunization Practices (ACIP) recommendations. 5 ACIP recommendations on vaccines are disseminated through various modalities, including IISs. CDSi comprises evaluation and forecasting which is complex, including factors such as age for vaccine administration, sex, number of doses, intervals between doses, precautions, and medical exemptions. MIIC currently offers an option branded as “Alternate Access” to access MIIC and CDSi from within the provider EHR. 17 This solution offers the ability to generate a query to MIIC for vaccination history and forecasting based on demographics of the EHR record. This option addresses the issue of repeat data entry for the query and also does not require logging into the MIIC system separately. The history and forecast are displayed either as a read-only view within the provider EHR or with the capability for automatic data comparison across the 2 systems, ability to edit data and input into EHR.
MIIC Data to Improve Vaccinations and Support Immunization Initiatives
A major, organization-wide objective of MDH is on Health Equity and targeting and eliminating health disparities. As part of this initiative, MIIC and the Office of Vital Records (OVR) are collaborating on projects related to immunizations. Immunization rates for specific subsets of the population were calculated by matching information (eg, race, ethnicity, mother’s country of birth) from OVR to MIIC. Some project examples include maternal vaccination study and study of Somali vaccination trends. The project which examined immunization rates of Minnesota’s Somali population using MIIC data found gaps in immunization coverage which were used for targeted outreach efforts and broad media interventions to address the vaccination gap. 19
Increasing adult immunization rates was the objective of a project which used MIIC data for baseline rates and conducted outreach to provider sites serving adult population (eg, pharmacies, Ob/Gyn, sexual health providers). 20 FluSafe is an initiative which uses MIIC to increase the health care worker vaccination rates of influenza in Minnesota hospitals and nursing homes. FluSafe was proven to be effective with higher rates of influenza vaccination in participating sites. 21 MIIC has been used to provide timely data and to improve process efficiency in assisting child care centers with their mandatory annual immunization report to MDH under Minnesota Statute (Section 121A.15). 22
The High-Risk ZIP Code Project used MIIC data to identify 12 ZIP codes with historic and currently low immunization rates relative to other areas of Minnesota. To increase immunization rates in these ZIP codes, reminder/recall activities targeted children aged 24 to 35 months who are not UTD on their 4:3:1:3:3:1:4 series. Parents of not UTD children were sent letters initially, with follow-up letters sent quarterly to parents of kids who remained not UTD. The overall UTD percentage increased by more than 16.4% in the targeted ZIP codes compared with a 4.2% increase in the control ZIP codes. The reminder/recall efforts had a possible impact on immunization rates in these 12 ZIP codes. 23
MIIC data on county-level vaccinations since 2010 have been made available online. 24 This public access portal includes a map of series coverage by county and metro area zip codes and tables with county rates for single antigens and pediatric series and is on a mobile-friendly platform. The objective is to increase access to MIIC data and enhance its utility to improve immunization rates.
Positioning MIIC to Provide Value and Path Forward
Although MIIC is among the leading IISs in the nation, it does face challenges in terms of improving the access and utility of its data, ensuring good quality of data, and meeting the technical requirements driven by IIS functional standards and changing electronic landscape in health care. These were recognized in the MIIC 25 Strategic Plan and priority actions identified. In addition, MIIC operates in an organizational environment wherein technical and business operations reside in varying units adding a layer of complexity and coordination needs. MIIC relies mainly on federal funds that support IIS operations with additional competitive funding for special projects (eg, EHR-IIS interoperability). With the delivery of certain preventive services including immunizations being offered beyond the confines of traditional health care organizations, the spectrum of stakeholders and scattering of immunization record increase. This presents MIIC with both an opportunity to serve as a record hub for immunizations and also the challenge of maintaining comprehensive data that are accurate, timely, and complete. Currently, MIIC responds to nearly 200 consumer immunization requests per month. Increasing consumer demands may present a need for consumer access to MIIC.
It is essential for IIS in various states and jurisdictions to work together to combine efforts, share knowledge, and collaborate on standards development and policy positions. The American Immunization Registry Association, 26 a membership organization for IISs, supports the various IIS development and implementation efforts. The growing adoption of EHRs in provider offices and hospitals with electronic tracking of immunizations of their care population and in-built informatics decision support tools will affect the value proposition provided by IISs and influence their functionalities and outreach. The ultimate goal is to position MIIC to continue to be an effective tool to support improvement in clinical immunization practice, serve as a resource for population health management, and ensure that public health has the most accurate and complete data to support immunization outreach and vaccine-preventable disease response efforts. Immunization Information Systems such as MIIC offer valuable informatics tools to increase immunization rates and decrease vaccine-preventable diseases.
Footnotes
Acknowledgements
The authors would like to thank the MIIC team for their expertise and support of the MIIC system.
Peer Review:
Five peer reviewers contributed to the peer review report. Reviewers’ reports totaled 823 words, excluding any confidential comments to the academic editor.
Funding:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by an On the Horizon grant from the University of Minnesota Informatics Institute (UMII).
Declaration of Conflicting Interests:
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Author Contributions
MM worked in the conceptualization of project and providing resources for content. SR provided support in writing of the manuscript. All authors reviewed and approved the final manuscript.
Disclosures and Ethics
As a requirement of publication, author(s) have provided to the publisher signed confirmation of compliance with legal and ethical obligations including, but not limited to, the following: authorship and contributorship, conflicts of interest, privacy and confidentiality, and (where applicable) protection of human and animal research subjects. The authors have read and confirmed their agreement with the ICMJE authorship and conflict of interest criteria. The authors have also confirmed that this article is unique and not under consideration or published in any other publication and that they have permission from rights holders to reproduce any copyrighted material. Any disclosures are made in this section. The external blind peer reviewers report no conflicts of interest.
