Knowledge Integration Program - NACo · 2 Step 1 Step 3 Step 2 Step 1 Step 3 Step 2 Step 1 Which...

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KNOWLEDGE INTEGRATION PROGRAM January 31, 2014 COUNTY OF SAN DIEGO Carrie Hoff, Assistant Deputy Director, Program Manager 1

Transcript of Knowledge Integration Program - NACo · 2 Step 1 Step 3 Step 2 Step 1 Step 3 Step 2 Step 1 Which...

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KNOWLEDGE INTEGRATION PROGRAM

January 31, 2014

C O U N T Y O F S A N D I E G O

Carrie Hoff, Assistant Deputy Director,

Program Manager

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FROM CONFLICT TO

COLLABORATION…

Program Client

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…TO COORDINATED CARE

COMMUNITY

We know what Ted needs.

County Client

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REAL-LIFE EXAMPLE

Don had multiple health issues.

But he just wanted to sleep in his own bed.

How did we get him there?

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OUR FRAMEWORK

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WHAT IS KIP?

To support the County’s Live Well San Diego

strategy, HHSA has initiated the development of the

Knowledge Integration Program, which includes:

Service delivery improvements to support person-

centered, strengths-based, and trauma-informed practice

using the integrated information.

An electronic information exchange for County health,

social service, behavioral health, physical health, and

probation data.

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SERVICES TO BE

INTEGRATED

HHSA

˗ Public Health, Benefits, Alcohol & Drug

Services, Aging & Independence Services,

Mental Health, Child Welfare

Probation

Housing and Community Development

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IMPROVE THE CUSTOMER AND

STAFF EXPERIENCE

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End-to-End Business Process Management promotes Person-Centered Service Delivery.

Silos make it difficult to navigate multiple services.

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IMPROVING PROCESS MANAGEMENT: IDENTIFYING OPPORTUNITIES FOR STANDARDIZATION

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In the County, there are many Basic Processes…with slight variations.

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Which ones can be slightly modified to result in less variation and more consistency?

In the workplace, consistency promotes efficiency by making it easier to share information and ideas, and take advantage of technology to automate certain tasks. Lean Six Sigma concepts and tools are used by the County to increase efficiency.

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KNOWLEDGE

INTEGRATION

PROGRAM

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Person- Centered Service Delivery

Change Management

Model of Practice

Drivers

Data Management

Staff Development

Technology

Privacy

Business Analytics

Project Management

The KIP team is managing these various tracks, that all contribute to KIP’s end goal of person-centered service delivery.

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COSDIE

Program System 1

Program System 4

Program System 3

Program System 2

EXAMPLE OF USE CASE

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I want to make a

referral for my

client

I want to assign

this referral to one

of my staff I’m making an

appointment with

the client to meet

with a case worker

To prep for

this

appointment I

am going to

review the

case

I met with the

client

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KIP: PROTECTING PRIVACY

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KIP will allow a worker to see information from multiple program databases as needed and help them provide better customer service.

But, staff can only see what they are allowed to see, depending on their role, laws, and customer approval.

Customer Authorization

What is your job?

What are you accessing?

Why are you accessing it?

Who are you sharing it

with?

Privacy Laws

Program Rules

Access to Information

Privacy Laws:

• 42cfr – Federal Mental Health • 14400 – State Medi-Cal enrollment • Confidentiality of Medical Information Act (CMIA) – State

medical information – adults and minors • Health Insurance Portability and Accountability Act

(HIPAA) • Health and Safety Code 121025A – HIV • WIC 827 – State CWS • WIC 5328 – State Mental Health • WIC 10850 – State Social Services (eligibility, AIS, CWS) • State Penal Code • Title 17 CCR – Public Health

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5 FUNCTIONAL CAPABILITIES

KIP will implement new technologies

and policies to enable automated or

improved abilities to perform:

1. Look-up, Search and View Query Results

2. Referral Management

3. Collaborative Service Delivery

4. Notifications and Alerts

5. Population-Based Shared Analytics

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ELECTRONIC INFORMATION EXCHANGE

Exchange

User can access

available information about their

customer via Portal.

Source: thinknook.com

Secure Central Hub allows

customer data to be exchanged

between existing systems.

Decisions can be made

using collective

data.

County customer makes

choice about allowing their information to be shared, for better service.

Consent

Analytics

& BI

Portal

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Driven by Business Need

Phase 1

• Look Up, Search and Query

• Referral Management

• 4 data source systems

Phase 2

• Population Based Shared Analytics

• Notifications and Alerts

• 4 data source systems

Phase 3

• Collaborative Service Delivery

• 2 data source systems

PART I: • 5 Functional

Capabilities

• 10 System Applications

IMPLEMENTATION STRATEGY: SYSTEMS AND FUNCTIONAL CAPABILITIES BY PHASE

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1. ALEX 2. Anasazi 3. CWS/CMS 4. PHIS

1. COMPAS 2. ELITE

1. AuthMed 2. CalWIN 3. PCMS 4. SanWITs

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KIP AB109 DATA MATCH

SUMMARY JANUARY 28, 2013

PROFILE

One-third of AB109ers are accessing at

least one HHSA Service.

Predominantly male population, under 50.

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DATA

• From PCMS and 16 HHSA source systems

• 1 FTE 1 month to complete

Provided real info to inform:

• Current data quality, and need for:

– Improvement and on-going monitoring

– Standardization and protocols

• KIP Planning:

– Service delivery model

– Data management strategies to ensure high quality MCI and shared analytics

– Technical and functional requirements

Next steps: • Further work with data stewards • Further collaboration with programs to refine

use and interpretation of data • On-going updates to HIMSC

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DATA MATCH DISCOVERIES:

ONE EXAMPLE

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100.0% 98.9%

94.0%

89.8%

85.1%

75%

80%

85%

90%

95%

100%

SSN SSN/Gender SSN/DOB SSN/FirstName

SSN/LastName

Comparison of SSN Match With Other Elements

The ability to match records deteriorates depending on the fields used for the match.

Why this matters:

Selection of master data

Identify areas to improve quality

Identify areas to implement consistent practices

Develop source system profiles for the RFP

Gender match has greatest level of accuracy.

Last name match has lowest level of accuracy.

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HHSA DATA GOVERNANCE

FRAMEWORK

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Goal: Consistent Data Management Strategy Across Systems; Enterprise vs. Silo

Current assigned individuals’ job classifications already include data related activities.

Lead & Support

Executes: Internal & External

Data Governance

Committee

Governance

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THE COUNTY OF SAN DIEGO:

ACCOUNTABLE CARE COMMUNITY

Data Shapes Policies

which Shape Actions:

Federal, State and

Local Levels

Working Together to

Serve the Region

“Inter-optimability”

Beacon (Local Health

Services)

CIE

(Local Social Services)

KIP

(COSD Services)

Beacon = The San Diego Regional Healthcare Information Exchange

Federal

State

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ORGANIZATIONAL

CONSIDERATIONS

Align to strategic objectives, and break

into “bite-sized” chunks

Start planning now

Far-reaching impacts, proceed with care

Invest adequately to meet the future

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QUESTIONS?

Carrie Hoff

County of San Diego, Health and Human Services Agency Assistant Deputy Director, Knowledge Integration Program Manager

619-338-2872

THANK YOU!

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