19
Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D., Homeward Becky O’Meara, MSW, The Planning Council Jordan Schaller, MBA, The Planning Council Many of these slides were developed by or in concert with The Cloudburst Group and are used with permission.

Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

  • Upload
    others

  • View
    3

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system

March 13, 2019

Margot Ackermann, Ph.D., Homeward

Becky O’Meara, MSW, The Planning Council

Jordan Schaller, MBA, The Planning Council

Many of these slides were developed by or in concert with The Cloudburst Group and are used with permission.

Page 2: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

HUD’s data vision

●The office of Special Needs Assistance Programs (SNAPS) has set out three goals for the next 3-5 years:○ Goal 1: Communities use their data to optimize systems of care through making

ongoing system performance improvements and determining optimal resource allocation

○ Goal 2: Communities operate data systems that allow for accurate, comprehensive and timely data collection, usage, and reporting

○ Goal 3: Federal government coordinates to receive and use data to make informed decisions in coordination with other data sets, across and within agencies

Page 3: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Strategies – Goal 1●Goal 1: Communities

use their data to optimize systems of care through making ongoing system performance improvements and determining optimal resource allocation

Page 4: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Strategies – Goal 2●Goal 2: Communities

operate data systems that allow for accurate, comprehensive and timely data collection, usage, and reporting

Page 5: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Strategies – Goal 3●Goal 3: Federal

government coordinates to receive and use data to make informed decisions in coordination with other data sets, across and within agencies

Page 6: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Seven Predictions About the Future of Homeless Service Information●From the National Human Services Data Consortium conference in

October 2018 (Fran Ledger and Abby Miller):○ We will be more strategic

○ Tools will become more advanced

○ Data demands will create complexities

○ Challenges with privacy won’t go away

○ Real time insights will be possible

○ Staffing capacity will expand

○ Communities will rely on actionable datahttp://www.andrewgriffithsblog.com/2820/predicting-the-future/

Page 7: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

● A HUD-funded pilot project, the purpose of the Virginia Data Integration (VDI) project is to maximize investments in ending homeless by exploring and implementing data integration of community-based Homeless Management Information Systems (HMISs).

■ Integrated data from HMIS will allow the Commonwealth to reflect a more complete picture of homelessness.

■ At the CoC or local planning group (LPG) level, dashboards will provide interactive and near real-time access to the data, which can be used to further data-driven decision-making.

● In addition to incorporating data from HMISs, the technical aspects of the project will allow easier and more accurate integration of other data sources (such as criminal justice, health care, education).

Virginia Data Integration Project

Page 8: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

● Communities will gain:○ Access to near real-time data that will enable them to be more responsive to trends

○ The ability to drill down on populations and projects to address important and timely questions

○ The ability to match data with other systems of care to generate support and resources

○ The opportunity to better partner with service providers and involve diverse stakeholders in data-driven decision-making

● As a Commonwealth, we will have:○ Statewide (for half of the state in the pilot) and local view of homelessness almost

instantaneously (i.e., with an interactive dashboard)

○ A better understanding of which communities might need assistance (e.g., to address chronic homelessness, veterans, families, youth) and identify community successes

○ Opportunities to drive sustainable partnerships with other systems of care

○ The ability to create reports at a state level

State and Local Benefits

Page 9: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Dashboard Demo

Page 10: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Local Use Examples

Strategy 1: HMIS Learning Labs and training materials

Strategy 2: Hampton Roads HMIS Data Quality Plan

Strategy 3: Performance Management Plan, System Activity Reports

Page 11: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

HMIS Learning Labs/Training

● Learning Labs:○ New and experienced end users○ Organized by Project Type○ Peer learning

● Training:○ Accommodate multiple learning styles○ Updating training guides and videos○ HMIS Providers Portal on CoC Websites

Page 12: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Data Quality Plan

Adopted federal and local priorities for:

● Completeness● Accuracy● Timeliness● Consistency

Established Monitoring and Reporting Process

Page 13: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Performance Management Plan

Goals:

● Monitor System and Program Performance throughout the year● Identify both strong performers and opportunities for improvement● Increase data maturity

Vision:

● Homelessness will be rare, brief, and non-recurring

Page 14: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

Performance Management Plan

Examples of Measures:

● Decrease total number of persons experiencing homelessness● Increase Permanent Housing (PH) exits● Decrease returns to homelessness● Increase outreach coverage● Increase Permanent Supportive Housing (PSH) capacity● Increase affordable housing capacity

Page 15: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

System Activity Reports

Customized reports to focus on local priorities and to reflect the unique flow of various systems

Goals:

● Evaluate system activity - movement of homeless individuals and families through the system of care

● Monitor the systemic response to addressing and ending homelessness

● Identify gaps

Page 16: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

System Activity Reports

Page 17: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

System Activity Reports

Page 18: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

System Activity Reports

Page 19: Innovations in Data-driven Decision Making · Innovations in Data-driven Decision Making: Tools for improving client outcomes across the system March 13, 2019 Margot Ackermann, Ph.D.,

QUESTIONS?Margot Ackermann

Homeward

[email protected]

(804)343-2045x11

Becky O’Meara

The Planning Council

[email protected]

(757)985-6136

Jordan Schaller

The Planning Council

[email protected]

(757)289-4333