Data Integration across Human Service Agencies: Building Capacity & Promoting the Use of Evidence

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1 Data Integration across Human Service Agencies: Building Capacity & Promoting the Use of Evidence APHSA s National Workgroup on Integration & The Center for State Child Welfare Data Chapin Hall at the University of Chicago July 15, 2014

Workgroup on Integration & The Center for State Child

2 Using Analytics To Drive Health and Human Services Integration Howard Hendrick Director of Human Services Business Strategy, Accenture Megan Lape Program Manager/NWI, APHSA

3 Don t plan Person/family centered to submit (9%) Outcomes focused Better results at lower cost Integrated/Aligned right service at the right time Modern business models with customer interfaces Flexible funding Accountable for results not outputs Creative/innovative Not risk averse Human Services: The Desired Future State DATA ANALYTICS: The Key to Achieving All of these Goals American Public Human Services Association. All rights reserved.

funding Accountable for results not outputs Creative/innovative Not risk averse Human Services: The Desired

4 Don t plan to submit (9%) Pathways H/HS Integration Maturity Model National Workgroup on Integration Human Services Value Curve Analytics Analytic Capability Roadmap 1.0 for Human Services Agencies 21 st Century Business Model HS Capability Assessment Model Strategies for Preparation American Public Human Services Association. All rights reserved.

0 for Human Services Agencies 21 st Century Business Model HS Capability Assessment

5 Analytic Capability Roadmap 1.0 for Human Service Agencies Key Features: Types of Analytics Human Services Capability Assessment Model Strategies for Analytic Preparation & Capacity Building American Public Human Services Association. All rights reserved.

Human Services Capability Assessment Model Strategies for

7 Domain Basic Advanced Leading Standard Reporting APHSA Human Services Capability Assessment Model Random Reporting (Ad Hoc Reports) Focused Reporting (Query/Drill Down Reporting) Automated Alerts Statistical Analysis Forecasting & Extrapolation Predictive Modeling Optimization American Public Human Services Association. All rights reserved.

Down Reporting) Automated Alerts Statistical Analysis Forecasting & Extrapolation

8 Steps for using analytics NOW: 1. Use Human Services Capability Assessment to define your present and desired capabilities and develop a plan to grow more capacity 2. Develop data standards, requirements and specifications. 3. Tackle a project: Collaboratively define the scope of an internal project or develop a RFP 4. Describe your agency s data needs within the context of the broader organizational goals 5. Include a use case: How will new data inform decisions? Keep in mind: Governance and management structures Cleanliness of data Data transparency Inconsistencies in data collection 6. Set realistic expectations about current (data) quality & integrity American Public Human Services Association. All rights reserved.

Describe your agency s data needs within the context of the broader organizational goals 5. Include a use case: How will new data inform decisions?

9 Data Integration across Health and Human Service Agencies: State Lessons Learned from Virginia Mike Wirth Special Advisor on ehhr Integration, Virginia Health and Human Resources Agency

10 Challenges Multiple understandings of analytics Cultural change Outcome data typically outside one agency Clock is ticking... leadership expectations, population shift, changing workforce, funding American Public Human Services Association. All rights reserved.

.. leadership expectations, population shift, changing workforce,

11 Develop Common Vision Start dialog with agency leaders, strategic plan HHR cross agency workgroup on Analytics Connect outcome measures with on going HHR project deliverables Baseline current agency capabilities American Public Human Services Association. All rights reserved.

measures with on going HHR project deliverables Baseline current

13 Outcome Performance Reporting Provides visibility on operational and outcome measures Linked to key measures in Agency Work plan Goals defined to measure if the Agency is heading the right way Education tool American Public Human Services Association. All rights reserved.

Goals defined to measure if the Agency is heading the right way

14 Educational / OCM External review by 3 rd party SAS BAMA process HHR Logical Data Map connect the dots across the silos Analytics Summit on Sept 30 th learn from national leaders American Public Human Services Association. All rights reserved.

silos Analytics Summit on Sept 30 th learn from national

16 Data Governance E MOU Creates partnership, synergy, and visibility across agencies. One reusable document. Compliant with relevant security and federal/state requirements. Brings multiple agency stakeholders to the same table. Eliminates headache of multiple point to point MOUs. Empowers analytics through data sharing American Public Human Services Association. All rights reserved.

Brings multiple agency stakeholders to the same table.

17 Don t reinvent the wheel Lessons Learned It s more than technology; move in parallel with governance, policy and OCM Err to over communicate Think big, start small, fail fast American Public Human Services Association. All rights reserved.

OCM Err to over communicate Think big, start small, fail

18 Data Systems for an Integrated Practice Model Erin Dalton Deputy Director, Allegheny County Department of Human Services

19 Integrated Data Internal Sources Aging Children, Youth and Families Community Service Block Grant Drug & Alcohol Early Intervention (partial) Family Support Centers HeadStart (partial) Human Services Development Fund Homeless/Housing Supports Low Income House Energy Assistance Program Medical Assistance Transportation Program Mental Health Intellectual Disabilities External Sources Public Benefits Allegheny County Housing Authority Housing Authority City of Pittsburgh Pittsburgh Public Schools + 12 additional County School Districts Allegheny County Jail Medical Examiner (Autopsied Deaths) Juvenile Probation Pre trial Services Adult Probation Adult/family court Potential Data Sources Vital Statistics Data Early Childhood Post Secondary Education Employment & Training 19

Public Benefits Allegheny County Housing Authority Housing Authority City of Pittsburgh Pittsburgh Public Schools + 12 additional County School Districts Allegheny County Jail Medical Examiner

20 Building Blocks Must Haves Common ID Strong Source Systems Common Service Offerings Legal Analysis Ideal/Working On It Common Intake Common Assessment Common IT Architecture Common Practice Philosophy Common Training Common Program/Fiscal Monitoring 20

Common Intake Common Assessment Common IT Architecture Common

21 DataVue: Service Activity

22 DataVue: Service Rendered and Received Screen

23 Information Type ACDHS Staff DHS Clients Client Information Yes Their own Services Received Yes Their own Assessments & Plans Yes Their own edocuments Yes Their own Client s Workers Yes Their own Providers to DHS Clients Yes (if claimed & approved) Yes (if claimed & approved) Yes (if claimed & approved & <1 yr old) Yes (if claimed & approved & <1 yr old) Yes (if claimed & approved)

24 Management Dashboard Interactive components Ability to export data 24 Trend capabilities View key measures across all program offices

25 Example: Human Services/Public Schools 53 percent (14,450) of PPS Students have prior Human Service involvement 36 percent (9,750) were involved with a Human Service within the last year

26 Educational Outcomes: GPA

27 Data Integration What Else? Fred Wulczyn Senior Research Fellow, Chapin Hall at the University of Chicago Director, The Center for State Child Welfare Data

28 A Wider View Data integration focuses on knowing more about clients as a gateway to understanding Other types of data are as important Geographic information Capacity Fiscal

29 Capacity Planning Points represent preventive service slots per 100 victims 1.5 At either end of the distribution, more or less slots than found in other parts of the state Integrates geographic data, client data, and capacity data Addresses the quantity question and the quality question EB EB + EB

30 Health Care Cost per Placement Month $1,800 Average Cost Per Month by Age at Admission and Placement Duration $1,600 $1,400 $1,200 $1,000 $800 $600 Infants 1 to 5 year olds 6 to 11 year olds 12 to 14 year olds 15 to 16 year olds $400 $200 $0 +1 mos +2 mos +3 mos +4 to to 2 yrs +2 to 3 yrs mos Months Since Admission

31 Contact Information Howard Hendrick Megan Lape Mike Wirth Erin Dalton Fred Wulczyn

EDUCATION HUMAN SERVICES- DATA SHARING & SCHOOL MENTAL HEALTH HOW COUNTY GOVERNMENT EFFECTIVELY HELPS WITH RESOURCES IN SCHOOLS NOVEMBER 5, 2015

EDUCATION HUMAN SERVICES- DATA SHARING & SCHOOL MENTAL HEALTH HOW COUNTY GOVERNMENT EFFECTIVELY HELPS WITH RESOURCES IN SCHOOLS NOVEMBER 5, 2015 Overview Share information on Data Sharing Agreements Explain