All In: Data for Community Health 2021 National Virtual Meeting
Half-days on November 8-10, 2021 with a pre-conference November 4
Register here — registration closes October 25, 2021
About the Meeting
The 5th Annual National Meeting will be held on November 8-10, 2021 from 12-4PM ET, with a pre-conference workshop on November 4th.
The All In: Data for Community Health National Meeting brings together a diverse group of people from public health, community-based social service, healthcare, national organizations, and other groups at the nexus of working across sectors to leverage data to improve community health. We are excited to highlight inspirational keynote speakers and sessions co-led by practitioners working alongside community members who will share their stories, tools, and lessons. We invite you to share your experiences as they relate to equity and inclusion in multi-sector community-based data sharing projects focused on promoting health and well-being.
The 2021 National Meeting themes are:
- Day 1, November 8: Unpacking the role of data sharing to address racial justice and health equity.
- Day 2, November 9: Community leadership for sharing, using, and owning data.
- Day 3, November 10: Elevating policies and systems levers that facilitate data sharing, avoid unintended consequences, and protect data to drive health equity.
- This year, All In is excited to offer four ‘deep dive workshop’ sessions during a special pre-conference on November 4, available to a limited number of All In Meeting attendees. The deep dive sessions will be 2.5 hours and open to a maximum of 40 pre-registered attendees. In each session, speakers will share frameworks, tools, templates and more to support attendees in honing their skills. Each session will include breakout room discussions and interactive activities; attendees will be able to attend up to two sessions. Session topics will include:
- 1) Homegrown models for collaborating with residents to move from data to action
- 2) Strategies for shifting power and leadership to community members in data sharing efforts
- 3) Gaining momentum by solidifying a shared data sharing purpose and buy-in across stakeholders and community members
- 4) Practical tools and guidance for centering racial equity throughout data integration
A complete agenda will be available soon.
Who Should Attend?
The AINM is open to individuals engaged in multi-sector collaborations, including community members, government agencies, and other stakeholders working together to improve health and well-being through data sharing. We thinking you will enjoy this meeting if:
- You are interested in sessions on strategies and approaches other organizations implemented in their communities
- You’ve missed networking with other organizations tackling similar challenges in their communities
- You’d like to share learnings from how COVID-19 impacted your approach
To view session recordings and resources from the 2020 AINM, click here.
Multi-sector: Multi-organizational arrangements engaged in ongoing and systematized operations, working across boundaries to solve problems that cannot be solved – or easily solved – by individual institutions acting alone. A collaboration can be either an existing multi-organization partnership with a shared venture, or a stand-alone entity which operates for or on behalf of community collaborations.
Collaboration: Intentional collaborations working across boundaries and in multi-organizational arrangements, typically including health care delivery, governmental public health, and personal health and wellness. Sectors “beyond” these traditional health sectors include, but are not limited to, social services, housing, education, transportation, community safety, community development, the physical environment, and business/employers. These sectors are representative of the social determinants of health, and their inclusion deepens understanding of the health of communities, and provides additional and optimal avenues for action.
Data Sharing: This includes both shared data and connected information systems. Health data is derived from a wide range of sources and includes raw data, aggregate data, summary data, and reference data. Data that is interpreted, analyzed and properly displayed can become information that people use to inform meaningful actions that help improve individual and community health. Connected information systems include, but are not limited to, health information exchange, bilateral data bridges, shared access to a data warehouse, or integrated data from multiple sectors with a community in common.
Racial Equity: As defined by Racial Equity Tools is “the condition that would be achieved if one’s racial identity no longer predicted, in a statistical sense, how one fares. When we use the term, we are thinking about racial equity as one part of racial justice, and thus we also include work to address root causes of inequities, not just their manifestation. This includes elimination of policies, practices, attitudes, and cultural messages that reinforce differential outcomes by race or fail to eliminate them.”
Lived Experience and Expertise: This refers to how a person is treated, set against standards (imposed by someone else) and affects the opportunities that are available to a person and environmental exposures, based on a social determinant. People with lived experience can include: community residents, program participants, patients or the persons who directly experience the conditions being addressed by your partnership. (Shared by Shavon Bradley from REACH Beyond Solutions LLC)