Displaying 7 results for

Olmsted County Pilots a Regional Population Health Data Hub to Improve Data Accessibility Gelila Tamrat, Sara Black, Reema Mistry, Christina Severin Olmsted County, Minnesota, pilots a regional population health data hub to improve data accessibility, which supports improved decision-making and interventions. Historically, Olmsted County and other local counties in southeast Minnesota have faced barriers to accessing timely and actionable public health data, including limited data analytics workforce capacity, lack of data-sharing agreements (DSAs), and misaligned data suppression standards. To address these challenges, Olmsted County Public Health Services (OCPHS) piloted a regional population data hub, in partnership with the Minnesota Department of Health (MDH) and 10 local health departments (LHDs). OCPHS procured resources to develop a regional data-sharing platform, expanded their epidemiology team, and pursued DSAs. As a result, they gained access to critical data that supports informed decision-making and tailored interventions at the local level. Tina Jordahl - Brief - Olmsted County MN DMI Hub Developing a Regional Population Health Data Hub With financial support from the Minnesota legislature in 2021, OCPHS collaborated with MDH and its regional counterparts to develop a regional population health data hub for smaller LHDs to access community-level public health data. OCPHS maintains the hub by managing data from the state, regional partners, and 10 LHDs, and creating data dashboards to support southeast Minnesota counties’ population health data needs. This effort involved building and expanding relationships with MDH unit-specific epidemiologists, working closely with public health system consultants at MDH, and raising awareness of the need for sustained data analytics workforce support. Following the initiative’s success, OCPHS plans to engage with state and local leaders to identify funding sources that can sustain the hub beyond the pilot funding cycle. Promoting Data Accessibility through Strategic Partnerships and Agreements MDH’s Center for Public Health Practice supports public health system consultants, who offer technical assistance and consultation services to strengthen public health infrastructure across Minnesota. The consultant for the southeast region of the state was crucial in linking state and local staff to advance the development of the regional population health data hub. They helped triage and expedite requests from OCPHS by identifying the right points of contact for datasets and legal counsel within MDH. The collaboration of MDH, OCPHS, and participating LHDs facilitated the development of DSAs, which allowed for proper data flow and enabled OCPHS to request data from MDH on behalf of participating counties, reducing the need for each county to request data. It also helped OCPHS to become the first county in the state to adopt CDC’s ESSENCE tool to monitor hospital visits for syndromic surveillance across Minnesota and neighboring states, better enabling LHDs to address the needs of communities residing along state borders. Hiring Strategies for the Data Analytics Workforce OCPHS focused on hiring staff to support the regional population health data hub with data expertise, strong communication skills, and a particular interest in population health and social determinants of health. OCPHS created two permanent epidemiologist positions to promote sustainability for that position in the future. To expand their hiring pool, OCPHS relied on Olmsted County’s updated remote work policies following the COVID-19 pandemic when many shifted to remote or hybrid work. They also invited leaders from partner counties to help vet candidates who could support other LHDs’ needs. Meaghan Sherden - Brief - Olmsted County MN DMI Hub Advancing Equity Through Data Accessibility Due to data suppression rules, counties in southeast Minnesota had limited access to county-level data for certain statewide datasets. OCPHS worked with MDH to identify appropriate data suppression standards that supported access to community-level public health data and preserved privacy and security, and collaborated with the county IT department to develop the regional data hub with public-facing and internal dashboards, aligned with the required privacy and security standards. The public-facing dashboards show aggregate data with appropriate suppression standards at county, regional, and state levels. The internal dashboards provide complete data summaries and are protected with appropriate permissions and multi-factor authentication for LHD staff to perform population-level analysis. Providing timely, granular data to participating counties allows LHD staff to develop tailored strategies to address emerging health issues promptly, bridging health equity gaps. OCPHS also integrates standard demographic data on race, sex, gender, and age into its dashboards, enabling regional LHDs to gain deeper insights into their communities and fine-tune equity-centered public health initiatives and interventions. Jenny Passer - Brief - Olmsted County MN DMI Hub Implementation Considerations Foster collaborative relationships across state and local health departments to identify opportunities to share resources when advancing data-sharing efforts. Models in which larger LHDs support key data infrastructure needs on behalf of smaller LHDs may bolster data analytics/epidemiology capacity across multiple LHDs and streamline coordination with key partners at the state health department. Consider how state health department consultant or liaison roles charged with providing technical assistance to state or local partners may help facilitate key connections between state and local health department staff pursuing cross-jurisdictional data-sharing efforts. Invest in data analytics/epidemiology workforce strategies that help address specific needs related to population health and relationship building, along with technical skills. Cross-jurisdictional data-sharing efforts require staff with strong data analytics and communication skills, as they work with multidisciplinary leaders and across jurisdictions to inform community-based interventions. Collaborate proactively with legal and IT departments to identify data governance solutions and technical approaches to adhere to required privacy and security standards. Establishing DSAs is important, as it allows sharing of data within required legal guardrails. Similarly, IT leaders can identify technological solutions that support effective access to data. OT18-1802 website yes

Arizona Department of Health Services Pursues Policies to Advance Data Sharing with Tribal Nations Erik Skinner, Christina Severin, Reema Mistry The Arizona Department of Health Services is pursuing policies to advance data sharing with tribal nations, centered around partnerships, education, and more. With leadership support and funding to modernize its public health infrastructure, the Arizona Department of Health Services (ADHS) is pursuing policies to advance data sharing with tribal nations. This includes investing in partnerships with tribal leaders, educating the public health workforce about tribal governments and tribal health care, and working to improve data identification processes to support effective data sharing between the state and tribal nations. Data sovereignty is an important consideration for ADHS, as there are 22 federally recognized tribal nations in Arizona. ADHS recognizes the inherent right of tribal nations to access their citizens’ public health data and is developing a tribal data sovereignty policy that both acknowledges their unique data needs and aligns with state requirements around tribal engagement. Leadership Support and Effective Tribal Engagement ADHS leadership understands the importance of making strong connections with tribal nations and recognizing each nation’s public health priorities while meeting its statutory requirement to develop tribal consultation policies. To that end, ADHS developed the tribal liaison position to serve as a resource, advocate, and communication link between ADHS and Arizona’s Native American health care community partners, including tribal community leaders, health and epidemiology directors, Indian Health Service (IHS), and Tribal Epidemiology Centers (TECs). Understanding cultural norms is essential to building trust with tribal partners; the tribal liaison role has been vital to ADHS engagement with tribal nations on data sovereignty topics. People and processes are important to establishing data sharing policies, and a well-informed workforce is essential for effective collaboration with sovereign tribal nations. ADHS is working with the Native Nation Institute to provide training on tribal sovereignty and cultural humility for staff. It has also developed a tribal handbook for public health staff on sovereignty, cultural trauma, and the roles of IHS and TECs. Identifying Tribal Affiliation within Datasets and Tribal Public Health Priorities ADHS conducted a data assessment to identify instances in which data sharing was active and ongoing between ADHS and tribal nations, and instances in which it had expired. A notable technical challenge was identifying tribal members within existing datasets, as many public health datasets are incomplete (e.g., do not include tribal affiliation) or rely on IT systems that are unable to aggregate data appropriately—making it difficult to ensure tribal authorities receive relevant, comprehensive public health data for their communities. In addition, because each tribal nation’s public health priority areas and data needs could differ from the data that state health information systems collect, sharing relevant data with tribal nations can be challenging. ADHS is working with each nation to identify tribal public health priority areas, find solutions to identify tribal data within state collected datasets, and share it with the respective nations. Ken Komatsu - Brief - AZ DHS Pursues Policies to Advance Data Sharing with Tribal Nations Honoring Sovereignty in Data Sharing Relationships Data sharing agreements with public health agencies often establish that the state agency controls the disposition and use of the data, and that each party benefits. Acknowledging that tribal partners are entitled to their citizens’ data without conditions differs from how ADHS has historically approached data-sharing relationships with others. ADHS plans to formally establish a non-transactional data sharing policy with tribal public health partners, and establish data sharing agreements that align with this approach going forward. Implementation Considerations Considerations for state health agencies in fostering strong relationships and effective engagement with tribal partners around data-sharing efforts include: Center tribal sovereignty when framing data sharing agreements with tribal nations. Engage tribal liaisons in data-sharing efforts with tribal nations. They maintain close relationships with tribes and can help develop mutual cultural understanding, which is essential to engaging tribal partners. Assess datasets to determine data completeness with regards to tribal affiliation and identify opportunities to improve comprehensive data sharing with tribal authorities. Invest in state health agency staff training on tribal sovereignty and cultural humility, so staff can be well-prepared when engaging in data sharing conversations with tribal partners. Gerilene Haskon - Brief - AZ DHS Pursues Policies to Advance Data Sharing with Tribal Nations OT18-1802 website yes

Data modernization improves public health response to emerging health threats and can help address health inequities in the U.S.

Policy Options to Improve Data Sharing Between State and Local Health Departments Organizational policies on data sharing between state and local public health agencies. This report explores organizational policies related to data sharing between state and local public health departments. ASTHO, in collaboration with the National Association of County and City Health Officials and the Network for Public Health Law developed this report, which aims to serve as a guide for state and local public health leaders as they consider organizational policy options to improve state and local data-sharing efforts. Get the Report (PDF) website yes

Fairfax County Health Department Modernizes Infrastructure to Optimize Public Health Data Sharing Susan Fluerant, Reema Mistry, Christina Severin Learn how the Fairfax County Health Department in Virginia is working to modernize its data infrastructure & optimize public health data sharing. Using lessons learned from the COVID-19 pandemic, the Fairfax County Health Department (FCHD) is coordinating with county agencies, the Virginia Department of Health (VDH), and nonprofit public health organizations to modernize its data infrastructure and optimize public health data sharing functions. FCHD’s Informatics and IT team engaged in a strategic process to develop a multiyear IT roadmap, which outlines solutions and systems required to support this modernization, including clinical services, communicable disease surveillance, laboratory information systems, communication systems, and solutions for community engagement and administrative needs. As a result, FCHD is well-positioned to leverage its robust IT and data infrastructure to align with VDH for better data sharing. Advancing IT and Informatics Infrastructure Challenges associated with manual data-sharing processes (e.g., the use of CSV files to ingest data and produce analyses) during the COVID-19 pandemic prompted FCHD to reassess its informatics capacity. It conducted department-wide needs assessments and identified the need for improved technology, increased workforce capacity, and better data governance policies. It then ascertained IT functions that could be outsourced (e.g., cloud-hosted solutions and managed services for FHIR HL7 implementation) versus core public health functions (e.g., manipulating and managing data for epidemiologic use) that needed to remain internal, allowing FCHD to preserve internal staff capacity for key public health activities. Public health staff found working with CSV files to be inefficient for large or frequently updated datasets. To address this challenge, FCHD worked closely with VDH and the Fairfax County Informatics and IT team to adopt automated processes and develop a data warehouse solution—allowing FCHD to manage and transform data from multiple sources as well as control the frequency and timing of data retrieval, enhancing their ability to respond promptly to public health needs while keeping data secure on cloud-host servers. VDH hosted an API for FCHD to retrieve death data, significantly increasing flexibility and reducing the need for manual intervention. As FCHD increases the use of new data sources and technology, it continues to develop data governance policies, roles/responsibilities for data users, and data safeguarding guidance. Noel Clarin - Brief - Fairfax VA DMI to Optimize Public Health Data Sharing Engaging State and Local Partners FCHD recognizes that data sharing agreements are vital to support data exchange and, until recently, relied on informal data sharing agreements among other jurisdictions in Virginia. It partnered with attorneys at the state and local levels to work toward a universal data sharing agreement, which can expedite the data sharing process when public health programs have new use cases for local data. As a result, FCHD executed a Memorandum of Understanding with VDH in less than six months—a notable improvement from past data sharing agreements, which historically could take over a year to execute. They worked collaboratively through complex technical and bureaucratic challenges, highlighting the iterative nature of establishing effective data sharing protocols. FCHD also supported relationship-building between programs and divisions within the Fairfax County government, allowing for greater strategic alignment around emerging technologies. Interdepartmental relationship-building between public health program staff and the Fairfax County IT team has been equally important to foster effective collaboration and identify data modernization champions within FCHD. Alida Laney - Brief - Fairfax VA DMI to Optimize Public Health Data Sharing Planning for Sustainable and Diverse Funding Sources FCHD received an initial grant from the Public Health FHIR Implementation Collaborative through NACCHO, which helped launch the IT infrastructure improvement work; however, one-time funding is not a long-term solution. Now, FCHD is developing a long-term funding strategy to support the costs of IT systems licensing, operations and maintenance, and research and development. FCHD recognizes as public health changes, so must the technology that supports it, and modernization will require sustainable funding from government, associations, and other sources. Centering Health Equity in Informatics Solutions FCHD is developing processes to collect and standardize data disaggregated by sexual orientation and gender identity, race and ethnicity, language, and the social determinants of health to better identify and address health disparities. By incorporating additional data into its systems, program staff can now make informed decisions to strengthen health literacy by disseminating information in preferred languages and easy-to-read formats, and ensuring materials are accessible to persons with colorblindness. Ben Klekamp - Brief - Fairfax VA DMI to Optimize Public Health Data Sharing(2) Implementation Considerations Foster relationships within and across local and state government to get buy-in for the modernization of public health informatics infrastructure and the improvement of data-sharing practices. Define clear goals for implementing new technology, and build a strategy for infrastructure improvement, partner engagement, and long-term sustainability that’s grounded in a shared understanding of the goals. Align workforce responsibilities, process improvement efforts, and technological advancements. Develop universal data sharing agreement templates between state and local health departments to expedite future data-sharing efforts. OT18-1802 website yes

Learn how to assess public health technology from a legal and policy lens prior to adoption.

Integrating Health Equity into State and Local Data Sharing Practices Morgan Zialcita, Lana McKinney, Christina Severin, Reema Mistry, Melissa Lewis It is crucial that health agencies incorporate health equity principles into policies and relationships that advance state and local data sharing. Timely and efficient public health data sharing improves public health response and decision-making. It enables local public health agencies (PHAs) to enhance community-level interventions and state PHAs to provide equitable response and allocation of resources within the jurisdiction. However, data sharing between state and local PHAs can be challenging due to resource capacity constraints, factors that limit technical solutions, and sensitivities and complexities associated with public health data collection and dissemination. Adopting policies to advance state and local data sharing and incorporating health equity principles into these relationships can help PHAs better identify and address data disparities, utilize resources effectively, and create an equity-centered public health data infrastructure. Equity Impact Assessment for Policy Changes Adopting data sharing policies using a health equity-focused framework can mitigate unintentional harm to specific populations. An equity assessment requires the systematic examination of available data and expert input to understand how a policy, program, or process will affect various groups, especially those who are either at risk of or experiencing health disparities. The Health Equity Impact Assessment (HEIA), designed to address racial disparities and root causes of inequities that could arise from policy changes, can help agencies explore potential inequities that may result from a policy initiative. Health Equity Considerations for Key State and Local Data Sharing Priorities Informatics Workforce Developing a diverse workforce that is representative of the communities it serves is important for advancing an equitable, inclusive approach to data modernization. However, recruiting and retaining diverse informatics staff—with strong technical, relationship-building, and change management skills—can be challenging for PHAs, especially in resource-limited locations. Health agencies can incorporate health equity principles into their workforce strategies in several ways: Consider soft skills, such as communication and collaboration, alongside technical expertise. These skills are important in establishing and maintaining state and local data sharing relationships. Include data sharing tasks in job descriptions to promote accountability and transparency amongst staff. This approach helps identify the role(s) responsible for data sharing activities and can also support sustainability by minimizing staff turnover. Prioritize inclusive practices and invest in ongoing development of agency staff. For example, provide training on cultural humility and data sovereignty to better equip staff working with tribal nations on data-sharing initiatives, and provide on-the-job training to help employees grow and build capacity. Reassess location, remote work, salary, and tenure policies to attract a diverse and skilled informatics workforce. Agency Alignment and Governance The type of public health governance model in a given state (e.g., centralized, decentralized, shared, or mixed) can influence how state and local PHAs work together both overall and on data-focused initiatives. The following health equity-focused recommendations are applicable across governance types: Establish strong communication channels and processes across partners to ensure all parties explore and understand the health equity considerations associated with data sharing initiatives. Consider options for shared resources to leverage expertise and promote collaboration on data-sharing initiatives (e.g., shared training programs, IT systems, and liaison roles that could perform epidemiology or informatics functions). This shared approach can bridge resource and knowledge gaps between state and local PHAs, especially for communities with limited resources. Consider ways to include local PHA input and ongoing feedback (e.g., through advisory boards) to encourage shared decision-making. Establish processes and policies to identify appropriate levels of data access across both local and state PHAs, so that shared data can inform population health analysis and reporting purposes at community, state, territory, tribal, and federal levels. Data Sharing Agreements and Organizational Policies When pursuing a new or amended data sharing relationship, engaging with legal experts is essential to safeguard sensitive public health data and ensure compliance with all relevant laws. Failure to successfully navigate these relationships and the inherent complexities associated with certain types of data can limit access to valuable information for important public health initiatives that improve equitable outcomes. Health agencies can take the following actions to promote effective collaboration between program, technical, and legal staff: Share the scope of the data relationship, the details of the proposed data exchange, and the overall programmatic purpose of the arrangement with the legal team. This is necessary for effective discussions with legal counsel and will help inform the agency’s approach to documenting the data relationship (e.g., in the form of a data-sharing agreement or DSA). Use decision-support tools, such as the HEIA, alongside the legal team to consider how the new proposed data sharing policy may impact equity across populations. Use clear and accessible language in DSAs and related protocols and policies, with support from legal counsel. Documents written in plain language support transparency, help build trust, and facilitate understanding among interested parties. Foster a culture of knowledge sharing between program, technical, and legal staff. For example, consider inviting legal staff to join advisory committees, listening sessions, or town halls about data sharing considerations to enhance program staffs’ understanding of legal considerations, address perceived barriers, and promote relationships and knowledge exchange between program teams. Conclusion In addition to adopting policies that make data accessible across government levels, it is important to develop mechanisms for communicating with communities about how their data is being used. For example, developing public-facing data dashboards (such as Alaska Department of Health’s Public Health Data Hub) that are easily accessible and understandable can be an effective way to increase transparency and build trust with the public. By committing to these strategies, PHAs can support a more collaborative, coordinated, and equitable approach to state and local data sharing, and strengthen PHAs’ capacity to address public health challenges. website yes