Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better...

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Meeting Information Conference Line: +1 (213) 929-4212 Access Code: 676-472-834 # Enter your audio PIN ID # Technical difficulties? Email [email protected]

Transcript of Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better...

Page 1: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Meeting Information

▪ Conference Line: +1 (213) 929-4212

▪ Access Code: 676-472-834 #

▪ Enter your audio PIN ID #

▪ Technical difficulties? Email [email protected]

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Webinar Instructions

Submit your questions

through the questions box

positioned on the right

hand side of your screen.

We will try to answer all

the questions today. They

will be posted on our

website at

dashconnect.orgSubmit your questions here!

Slide 2

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Mentor ProgramCall for Applications

Mentor Pitch Webinar

Thank you for your interest in DASH

Slide 3

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DASH Focus

1. Work with grantees and partners to test, implement, and document innovative practices

2. Build and disseminate successful practices and evidence base for the field

3. Cultivate relationships among experts to co-create a national movement to support local initiatives

Slide 4

Grantee Support

Evidence Base

Networking and

Relationships

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All In: Partner Focus and Network Mission

1. A movement around the social determinants of health

2. An evidence base for the field

3. A network powered by peer learning and collaboration

Data and Information Sharing

Multi-sector Partners

Collaborative Effort

All In supports national impact:Partners support local initiatives:

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Mentor Program Purpose and Goals

Purpose: To support six cohorts of selected “Mentees” to learn with and from DASH Mentors and community peers in order to accelerate their local multi-sector data sharing efforts

Program Goals:

▪ Supporting, testing and documenting emerging collaborative efforts

▪ Strengthening established communities’ ability to provide support and consultation; transferring skills and knowledge

▪ Creating and disseminating specific tools/products/resources to be shared across All In: Data for Community Health learning collaborative

▪ Enabling ongoing documentation, learning, and dissemination about pitfalls, best practices, and the mechanisms of success

▪ Enabling and encouraging opportunities for peer learning in All In

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Mentee Support

▪ Each Mentorship will be focused on a specific topic area and Mentees will work on advancing their own multi-sector data sharing work, even if just in the early stages

▪ Mentees will gain access to:

▪ Individualized guidance and technical assistance from advanced community leaders

▪ A forum for peer learning, troubleshooting, and discussion with a small group of peers tackling similar issues

▪ Mentees will have an opportunity to:

▪ Contribute to the development of products and resources that will be disseminated throughout the All In network

▪ Build evidence in the field and share lessons learned with other communities

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DASH Mentors and Mentee Selection

Applicants will be assessed for their capacity, needs, desired outcomes, and fit. Mentees will be assigned to the Mentor best suited to provide appropriate guidance and support.

Note: Communities must specify their first-choice and second-choice Mentors in the application.

1. The University Center for Social and Urban Research (UCSUR) / Western Pennsylvania Regional Data Center

2. The Civic Canopy

3. 2-1-1 San Diego / Community Information Exchange

4. HealthInfoNet

5. Center for Outcomes Research and Education

6. The Corporation for Supportive Housing

Slide 8

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Mentor Topic Areas

1. University Center for Social and Urban Research: Civic data, open data, community engagement, getting started

2. The Civic Canopy: Community engagement, indicators, frameworks, convening, strategic planning

3. 2-1-1 San Diego: Community information exchange (CIE) social determinants of health (SDOH), 2-1-1, workflows

4. HealthInfoNet: SDOH, universal design, workflows, clinical data, HIE

5. Center for Outcomes Research and Education: Health care data linkages, integrated data, research, business case

6. The Corporation for Supportive Housing: Housing, homelessness, HMIS, HUD, Continuum of Care

Page 10: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Mentor Program Call for Applications

Slide 10

November 9, 2018:

Applications due (3pm ET)

November 26, 2018:

Awardees are notified

December 3, 2018:

Contracts are initiated

▪ Up to 30 organizations selected as Mentees

▪ Cohorts of 3-6 Mentees per Mentor, most cohorts will have 5 Mentees

▪ $5,000 contracts

▪ 10 months mentorship duration

Timeline

Page 11: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

▪ Applicant has a clearly defined learning goal for the Mentorship program.

▪ The applicant organization is a member of an existing community or regional collaboration - or has the opportunity to convene a multi-sectoral community collaboration.

▪ The applicant organization has strong, active relationships with organizations in two or more other sectors relevant to community health improvement objectives.

▪ A 501(c)(3) organization based in the United States or its territories

Mentor Program – Mentee Eligibility Criteria

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▪ All In: Data for Community Health membership is not a condition of application, but awardees will be required to join the online community and complete a member/project profile as a condition of acceptance.

▪ Program work and resources will happen on or be available through the platform

▪ Applicants are encouraged to join the online community at any time

Slide 12

All In Membership Guidelines

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Joining All In: Data for Community HealthPeer Learning Collaborative

• Individual stakeholders

register and create profiles at

allin.healthdoers.org (Be sure

that everyone in your group

enters the same

“collaborative/project name”)

• The project will receive a

questionnaire to fill out details

for the Project group snapshot

• Members will complete the

Capacity Assessment

Page 14: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

▪ Join the All In online community and create member profiles

▪ Attend a kick-off webinar for your cohort

▪ Identify and work towards an individual/site goal related to building capacity, knowledge, or advance some aspect of work in your local collaboration

▪ Participate in quarterly cohort group webinars

▪ Check-in with Mentors and/or complete activities during “Action Periods” -designated time for Mentees to move forward between group webinars

▪ Share feedback with the NPO about the Mentor Program

▪ Complete the All In capacity assessment

▪ Contribute to the development of resources for dissemination to All In

Slide 14

Mentee Activities

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MentorsMentor Pitches

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DASH Mentorship Presentation

October, 2018

Page 17: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

About us:

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Inclusive, regional data sharing infrastructure

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Open Data Portal

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Legal Infrastructure

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Governance

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Data Intermediary Services

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What we’ve learned:

Page 24: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Personal relationships matter. Trust is vital.

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Your infrastructure choices impact your long-term sustainability.

Source: U.S. Department of Energy, https://www.flickr.com/photos/sacramentodistrict/29895503152/

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Build it, and they probably won’t come…

Source: mlblogscountingbaseballs, 4-21-10 PNC Park (Lightning Strikes Twice): https://mlblogscountingbaseballs.wordpress.com/2010/04/22/4-21-10-pnc-park-lightning-strikes-twice/

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Must have a solid value proposition for data sharing

Source: The Noun Project: https://thenounproject.com/search/?q=clock&i=2007433, https://thenounproject.com/search/?q=champion&i=1360369

Save staff timeChampion

Compelling Data Tool

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There’s value in intentionally building a civic data ecosystem

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There’s no one model for building a local data sharing partnership

Source: Fuselage, Close, Bill Abbott, Licensed CC-BY-SA 2.0 https://www.flickr.com/photos/wbaiv/4909188063/

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What we bring to the mentorship

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Our Team’s Expertise and Experience

Data Things

• Data repository management

• Data documentation

• Data management

• Data privacy

• Data transformation

• Software development

Sort-of data things

• Training • Data literacy• Technology literacy• Statistical literacy

• Technical assistance

• Applied research

• Human-centered design

• Community engagement

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Connections to external networks

• National Neighborhood Indicators Partnership

• Civic Analytics Network

• Digital Library Federation

• Sunlight Foundation

• Code for America

• MetroLab Network

• Living Cities

Source: National Archives, Photograph of Women Working at a Bell System Telephone Switchboard, no use restrictions, https://www.flickr.com/photos/usnationalarchives/3660047829/

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We have experience as a mentor

Source: British Library, Image taken from page 107 of 'Primary Geography. [With illustrations.]‘ by Alexis Everett Frye, https://www.flickr.com/photos/britishlibrary/11229736706/

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What will the mentorship look like?

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Start with an ecosystem mapping activity

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Develop goals and a plan

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Structured activities and calls

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We’ll be your thought partner

Page 39: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

This mentorship is right for you if you’re interested in these things:

❑ Open civic data

❑ Community engagement

❑ Neighborhood indicators

❑ Managing data sharing partnerships

❑ Establishing community data infrastructures

Communities in early stages of their data sharing partnerships are especially encouraged to apply.

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Thanks!

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The Civic Canopy Mentor Pitch

Bill Fulton10.29.18

THE MANY WORKING AS ONE FOR THE GOOD OF ALL

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Page 43: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Build Connections

Build Capacity

Build a Movement

Purpose and Vision: The many working as one for the good of all

Mission: to create a culture of collaboration that drives transformative

change

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Data-Driven Decision Making Made Simple

1. Establish clear results—begin with the end in mind

2. Define how you will measure results—from X to Y by when

3. Include key partners in defining strategies that will work

4. Get the story behind the data—what would work to improve the situation?

5. Try something

6. Learn from what you tried—what worked? What didn’t? What can you try next time?

7. Repeat.

8. Make it part of your culture.

Page 45: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Success Stories

Reducing mental health holds in NE Colorado

Reducing obesity in Prowers County, CO

Improved student schievement in DPS SchoolsImproved access to healthy food

in NE Denver

Reducing crime and increasing social

connection in Clifton, CO

Page 46: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Domains• Health• Education• Safety• Etc.

Life Course• Birth to Death Socio-Ecological

Level• Individual• Organization• System

Our New Indicator Framework—Ta Da!

Page 47: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

What You Can Expect as a Mentee

• An introduction to a research-based model that helps foster collaboration across sectors on any issue

• Access to an extensive toolkit of resources, templates, processes and case studies

• Customized coaching to help you achieve your goals, AND

• An opportunity to help build a common framework that helps all of us make sense out of community indicators together

Page 48: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Thank [email protected]

www.civiccanopy.org

THE MANY WORKING AS ONE FOR THE GOOD OF ALL

Page 49: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

2-1-1 San DiegoCommunity Information Exchange

Mentor Pitch Deck

Page 50: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Zip code better predictor of health than genetic code

Page 51: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

The Problem

Page 52: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Systems Change

• How do you measure the impact you are making? What is the ROI? Who pays for this work?

• How do communities create shared language/goals?

• How do communities create trust between organizations/systems?

• How can communities be inclusive with all needs populations, and sectors?

• How do communities create workflows and incentives that work for everyone?

• How do communities provide ethical, informed care

across sectors?

Goal=Human-Centered Community Care

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Who We Are

Who We Are:• Non-Profit Social Service• Grassroots perspective• Background/Experience: Social Work and Public Health

Page 54: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Mentorship Overview

PolicyGovernance

One on One Support

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Impact of Community Information Exchange

Page 56: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Who Should Join Us?

• Interested in making progress towards developing a CIE

• For All Sectors• Deeper learning on holistic person-

centered care• More mature non-profit organizations

that already have referral capacity • Some data exchange capacity, at

minimum, and be striving towards development of technical infrastructure

Page 57: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Maine’s Health

Information Exchange

Katie Sendze, MBA

Director of Client Operations &

Programs

October 29, 2018

Page 58: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

HIN Core Client Services

Statewide Clinical Data Repository: HIE Clinical Portal

– Real-time patient health record portal gives providers

access to results and information from outside of the EHR

HIE Notifications Service

– Real-time electronic email “notifications” about

specific events of care (i.e., ED & inpatient

admin/discharge, new lab results, etc.)

Analytics Portal

– Real-time analytics to support patient intervention

using population level predictive analytics; supports

proactive clinical care management to address risk for

disease, ED visits, and inpatient readmissions

58©2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution

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• Hospitals, primary care/specialty health care providers

• Behavioral Health Organizations

– Opt-in state protected mental health information for integration

with “general medical” information

• FQHC & homeless shelter services

• Veterans Health Administration (eHealth exchange)

• Maine Department of Health and Human Services

– Medicaid service reporting, claims data integration with Master

Person Index/Clinical Data Repository

– CDC chronic disease measurement reporting

• Maine Housing Authority

– Homeless Management Information System (HMIS)

• Community Action Agencies (CAA)

©2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution

10 years of Experience with Partners

59

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HealthInfoNet Timeline

2004 A statewide study establishes a need and support for an exchange in Maine

2006 HealthInfoNet incorporated

2010 Statewide HIE rolled-out

2012 Predictive Analytics & Reporting Tool introduced

2013 Behavioral Health Organizations connected to the HIE

2015 Veterans Administration connected to the HIE

2017 Social Determinant of Health Data available in the HIE

@2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution 60

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HIN Mentee Opportunity

• Access lessons learned- don’t repeat the same

mistakes!

• Access talent to inform successful

tactics/methods/operations for convening

stakeholders & partners

• Access talent for how to deliver data to targeted

end-users

• Access detailed content/technical knowledge

about data sharing value, management,

privacy/security

©2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution 61

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HIN Mentee Outcomes

• Knowledge gain from supported educational

meetings & webinar content with peers &

experts (based on your needs will adjust delivery

methods)

• Contribute to end-product (documentation) that

fits your specific needs

• Develop strategies, communications, training

materials, recommendations, project

implementation documents, etc.

• Identify shared experience/commonalities and

how industry leaders navigate these

©2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution 62

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Who Should Apply?

• You have identified a challenge/solution that

requires: working with a healthcare partner,

technical assistance, UI/workflow development

• You are in need of developing and/or moving

thru plans for…

– Partner engagement/convening & buy-in

– Assessing data systems & capacity to share

information

– Understanding/engaging end-users to deliver

actionable data

• Helpful to have experience with clinical data but

not required©2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution 63

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Contact Information

Katie Sendze, Director Client Operations & Programs

[email protected]

60 Pineland Drive, Suite 230

New Gloucester, Maine 04260

Main: (207) 541- 9250

www.hinfonet.org

@2018 HealthInfoNet (HIN) – All Rights Reserved

HIN Proprietary – Not for Redistribution 64

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DASH Mentor Pitch

October 2018

Page 66: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

CORE is an independent research, evaluation, and analytics team.

We focus on improving the health of communities.

We are based in Portland, Oregon.

Page 67: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Our DASH Mentorship team.

Nikki Olson

Shauna Petchel Stacy DeLong

Sarah Bartelmann

Page 68: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

“We can probably help you figure that out.” - CORE

We’ve Worked with these Partners:• State Health Authorities• Public Health Agencies• Accountable Communities of Health • Regional Multi-Sector Collaboratives• Philanthropy• Housing • Education• Criminal Justice• Emergency Medical Services• Coordinate Care Organizations

Page 69: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Cross-sector data sharing is complex.

Data sharing agreementsBuilding relationships

Stakeholder buy-in

Shared goals Data standardization and quality

Linking dataAnalytic approaches

Communicating to diverse groups

CORE can provide tailored technical assistance, troubleshooting, and support.

Data translation

Use case development

Resource and sustainability plans

Data documentation

Privacy and security

File transfer processes

Data storage

Visualization and reporting tools

Page 70: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Engage and convene diverse stakeholder groups.

Bring people together around a common goal.

Develop the solution.Develop the case and approach to sharing data.

Potential sectors

▪ Health/Accountable Care

▪ Housing

▪ Education

▪ Public Health

▪ Criminal Justice

▪ Philanthropy

▪ Academia

▪ Government

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Tailor approaches to meet your goals.

Bring people together around a common goal.

Develop the solution.Develop the case and approach to sharing data.

We are not a great fit for use cases involving real-time information exchange, care coordination, case management, or program operations.

Use Cases

▪ Strategy

▪ Planning

▪ Implementation

▪ Monitoring

▪ Evaluation

▪ Research

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Identify practical solutions to turn data into meaning.

Bring people together around a common goal.

Develop the solution.Develop the case and approach to sharing data.

Solutions

▪ Data Systems

▪ Data Analytics

▪ Data Visualization

▪ Data Exploration

▪ Measure Development

▪ Operational Strategy

Page 73: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Are these the things you want to figure out?

Sectors

▪ Health/Accountable Care

▪ Housing

▪ Education

▪ Public Health

▪ Criminal Justice

▪ Philanthropy

▪ Academia

▪ Government

Bring people together around a common goal.

Develop the solution.Develop the case and approach to sharing data.

Solutions

▪ Data Systems

▪ Data Analytics

▪ Data Visualization

▪ Data Exploration

▪ Measure Development

▪ Operational Strategy

Use Cases

▪ Strategy

▪ Planning

▪ Implementation

▪ Monitoring

▪ Evaluation

▪ Research

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Thank you!

Page 75: Meeting Information - Data Across Sectors for Health (DASH) · Mentor Pitch Deck. Zip code better predictor of health than genetic code. The Problem. Systems Change • How do you

Corporation for Supportive HousingDash Mentorship

www.csh.org

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Maximizing Public Resources

Public Systems

CSH collaborates with communities to introduce housing solutions that promote integration among public service systems, leading to strengthened partnerships and maximized resources.

Maximized Resources

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Some Key Terms

HMIS Homeless Management Information System

Continuum of Care Jurisdictions that administer housing and

services for homeless families and individuals

Coordinated Entry System A system designed to identify people in housing

crisis and connect them to assistance based on their needs

Data Matching The process of identifying unique individuals

across multiple datasets

Data Integration The result of ongoing data matching – a system

in which multiple administrative systems work together

© All rights reserved. No utilization or reproduction of this material is allowed without the written permission of CSH.

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Why worry about high utilization?

Communities spend billions of dollars on services that bounce vulnerable people between crisis services. Housing interventions based on matched data helps break that cycle while increasing housing stability and reducing multiple crisis service use.

Data-Driven

Problem-Solving

csh.org/fuse

Health

System

Data

HMIS Data

Jail Data

Open Source

Data

Matching

Integrated

Data

Strategic

Planning

Cost Savings

Targeted

Interventions

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Homeless Coordinated Entry Systems

© All rights reserved. No utilization or reproduction of this material is allowed without the written permission of CSH.

Assessment

Prioritization

Interventions

Health/Behavioral Health Challenges

Extent to Which People are Unsheltered

Vulnerability to illness/death/victimization

Risk of Continued Homelessness

High Utilization of Crisis Services

• Many Continuums of Care struggle with prioritizing the

right clients for the right interventions. Coordinated Entry

Systems enrich the data collected at all entry points, and

improve prioritization

• HUD allows matched administrative data to be used to

support prioritization in CES alongside vulnerability and

other factors

• The more integrated data, the better picture you can paint

describing your community’s needs

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What You Can Expect

• Guidance through the data-sharing process:

• Landscape Analysis

• Data sharing technical assistance• DUA, MOU, BAA

• Data security• Anonymity and HIPAA Protection

• Implementing an open source matching tool

• Assistance in planning for use in homeless Coordinated Entry Systems

• Blueprint for using matched administrative data in CES for housing prioritization

© All rights reserved. No utilization or reproduction of this material is allowed without the written permission of CSH.

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Questions?

▪ Submit questions using the Questions box positioned on the right hand side of your screen

▪ Contact [email protected] with additional questions

▪ Please do not contact Mentors directly with questions about the program or their Mentorship

▪ All questions will be posted in a FAQ document

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Application link is found on the website: http://dashconnect.org/mentor-program/

Application questions can be downloaded as a PDF on the website

How to Apply

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Tips for a Successful Application

1. Carefully note the deadline date, time and time zone: November 9, 2018, 3:00 pm Eastern Time

2. Submit your application well in advance of the deadline

3. Complete your application in one sitting if possible – review the questions PDF ahead of time.

4. E-mail [email protected] with any questions or issues with submission.

5. Have a backup person lined up in advance to step in for you in

the event of an emergency.

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▪ For questions, contact [email protected]

▪ Applicant FAQ will be posted on dashconnect.org

▪ DASH does not guarantee answers to questions asked after November 6th

Contact Us