Enhancing Cross-Sector Collaboration to Combat Homelessness
Explore a comprehensive framework for integrating systems and data to prevent and end homelessness. Key components include cross-sector change leadership, data integration, and data maturity for informed decision-making. Discover crucial lessons and objectives aimed at maximizing investments, improving health outcomes, and developing effective interventions and policies.
- Homelessness prevention
- Data integration
- Cross-sector partnerships
- System improvement
- Vulnerable households
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Presentation Transcript
Cross-Sector Partnerships to Prevent and End Homelessness Wednesday, October 17, 2018 9:50 to 10:50 Jamie Taylor, The Cloudburst Group Sarah Kahn, The Cloudburst Group Margot Ackermann, Homeward
Learning Objective Understand a framework for system and data integration to prevent and end homelessness, which includes three core components: 1) Cross-sector change leadership 2) Data integration 3) Data maturity (for data based decision-making) Understand how to apply this framework through critical lessons learned from communities
Cross-Sector System and Data Integration Goal: Maximize system investments, improve health, prevent recidivism, end homelessness. Objectives: 1. Identify and target the most vulnerable households 2. Effective and efficient cross-system interventions 3. Improved policies 4. Improved care coordination
Solving Homelessness: Cross-Sector System and Data Integration Framework Data Integration is never an end unto itself Data Maturity for data driven decision-making Cross-Sector Change Leadership -- Ian Kosak Data Data Integration Operational Tools for care coordination Integration Analytic tools for system planning
System and Data Integration Framework Key Outputs: Cross-Sector Change Leadership Leadership group Shared vision and system goals [Theory of Change Mapping] Data Maturity capacity-building for data driven decision-making Cross-sector knowledge-sharing [System Mapping] Cross-Sector Change Leadership Prioritized system interventions Data use cases defined Data Data Integration Operational Tools for care coordination Integration Analytic tools for system planning Joint Action Plan
System and Data Integration Framework Critical Lessons: Cross-Sector Change Leadership Success depends on leadership group owning, leading, driving Limited joint-knowledge of service systems and referral networks Knowledge-sharing = critical foundation for systems change - prioritizing interventions and use cases Other sectors may be the driving force (Health, Criminal Justice, MCEs)
System and Data Integration Framework Key Outputs: Data Integration Technology driven by data use cases Data sources identified & accessed Data Maturity capacity-building for data driven decision-making MOU s, data sharing agreements. joint privacy and client permission Cross-Sector Change Leadership Data Data Integration Operational Tools for care coordination Advanced analytics Integration Analytic tools for system planning
Use Case Drivers System Planning Use Case Questions What are the characteristic of this group? What are the service utilization patterns and costs of this group? Which cross-system interventions are most effective and efficient? What are service needs and gaps? Care Coordination Use Case Questions How do we identify this group for prevention services and enrollment? How can we facilitate joint-case planning and monitoring? How can we create stronger cross-sector referral networks and identify eligibility? How can we prioritize and target the most vulnerable persons accessing services?
System and Data Integration Framework Critical Lessons: Data Integration Data Integration can support eligibility processes, care coordination, and system planning Identified leader(s) responsible for a) facilitating and completing data sharing agreements and b) overall data stewardship is critical to success
System and Data Integration Framework Key Outputs: Data Maturity for Data Based Decision Making Cross-sector data literacy Cross-sector data-based decision making, leveraging newly visible data Data Maturity capacity-building for data driven decision-making Cross-sector knowledge sharing (ongoing) Cross-Sector Change Leadership Data Data Integration Operational Tools for care coordination Integration Analytic tools for system planning
System and Data Integration Framework Key Outputs: Data Maturity for Data Based Decision Making Data literacy and capacity building supports effective decision-making Cross-community knowledge sharing w/ other data leaders supports local problem-solving; motivates data utilization for system planning and care coordination
Data Integration Virginia Case Study
Solving Homelessness: Cross-Sector System and Data Integration Framework Data Integration is never an end unto itself. -- Ian Kosak Data Maturity for data driven decision-making Cross-Sector Change Leadership Data Data Integration Operational Tools for care coordination Integration Analytic tools for system planning
Small Group Discussion and Action Planning
Discussion Questions How have you used data to bring together cross-sector leaders to solve a system problem? What lessons can you share regarding 1. Cross-sector leadership collaboration 2. Use of cross-sector data 3. Building capacity for data-based decision making
Homework Identify and prioritize system problems Determine cross-sector leaders from whom you need support Establish cross-sector leadership group, leveraging local change agents Set cross-sector leadership agenda and action plan
Contacts Jamie Taylor, The Cloudburst Group jamie.taylor@cloudburstgroup.com Sarah Kahn, The Cloudburst Group sarah.kahn@cloudburstgroup.com Margot Ackermann, Homeward mackermann@homewardva.org
