Cross-Sector Partnerships to Prevent and End Homelessness

1. Cross-Sector Partnerships to Prevent and End Homelessness Wednesday, October 17, 20189:50 to 10:50 Jamie Taylor, The Cloudburst Group Sarah Kahn, The Cloudburst Group Margot Ackermann, Homeward

2. Learning Objective Understand a framework for system and data integration to prevent and end homelessness, which includes three core components: • Cross-sector change leadership • Data integration • Data maturity (for data based decision-making) Understand how to apply this framework through critical lessons learned from communities

3. Cross-Sector System and Data Integration • Goal: • Maximize system investments, improve health, prevent recidivism, end homelessness. Objectives: • Identify and target the most vulnerable households • Effective and efficient cross-system interventions • Improved policies • Improved care coordination

4. Solving Homelessness: Cross-Sector System and Data Integration Framework Data Maturity for data driven decision-making • “Data Integration is never an end unto itself” • -- Ian Kosak Cross-Sector Change Leadership Data Integration Analytic tools for system planning Data Integration Operational Tools for care coordination

5. System and Data Integration Framework—Key Outputs: Cross-Sector Change Leadership Data Maturity • capacity-building for data driven decision-making • Leadership group • Shared vision and system goals [Theory of Change Mapping] • Cross-sector knowledge-sharing [System Mapping] • Prioritized system interventions • Data use cases defined • Joint Action Plan Cross-Sector Change Leadership Data Integration Analytic tools for system planning Data Integration Operational Tools for care coordination

6. 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)

7. System and Data Integration Framework—Key Outputs: Data Integration Data Maturity • capacity-building for data driven decision-making • Technology driven by data use cases • Data sources identified & accessed • MOU’s, data sharing agreements. joint privacy and client permission • Advanced analytics Cross-Sector Change Leadership Data Integration Analytic tools for system planning Data Integration Operational Tools for care coordination

8. 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?

9. 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

10. System and Data Integration Framework—Key Outputs: Data Maturity for Data Based Decision Making Data Maturity • capacity-building for data driven decision-making • Cross-sector data literacy • Cross-sector data-based decision making, leveraging newly visible data • Cross-sector knowledge sharing (ongoing) Cross-Sector Change Leadership Data Integration Analytic tools for system planning Data Integration Operational Tools for care coordination

11. 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

12. Data Integration Virginia Case Study

13. Solving Homelessness: Cross-Sector System and Data Integration Framework Data Maturity for data driven decision-making • “Data Integration is never an end unto itself.” • -- Ian Kosak Cross-Sector Change Leadership Data Integration Analytic tools for system planning Data Integration Operational Tools for care coordination

14. Small Group Discussion and Action Planning

15. Discussion Questions • How have you used data to bring together cross-sector leaders to solve a system problem? • What lessons can you share regarding • Cross-sector leadership collaboration • Use of cross-sector data • Building capacity for data-based decision making

16. 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

17. 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