driving enterprise roi by eliminating data silos

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1 Driving Enterprise ROI by Eliminating Data Silos Session #45, March 6, 2018 Soyal Momin, VP, Data and Analytics, Presbyterian Healthcare Services

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Page 1: Driving Enterprise ROI by Eliminating Data Silos

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Driving Enterprise ROI by Eliminating Data SilosSession #45, March 6, 2018

Soyal Momin, VP, Data and Analytics,

Presbyterian Healthcare Services

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Soyal Momin

Has no real or apparent conflicts of interest to report

Conflict of Interest

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Agenda

Data and Analytics - Vision

Data and Analytics - Operating Model

Data and Analytics – Technology

Value Realization

What Keeps Me Up at Night?

What is Next?

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Learning Objectives

• Assemble an infrastructure around people, process and technology to drive a data-driven culture

• Create business value from enterprise wide data and analytics strategy and execution

• Discuss stakeholder buy-in and organizational-wide support by leveraging change management tools and creating a culture of inclusion across the enterprise

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Presbyterian Healthcare Services At A Glance

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Data Overload and Increased Focus on Health Outcomes

Presbyterian Healthcare Services had made several strategic

technology investments

Proliferation of data and new applications

Strategic need to differentiate

The solution? A data and analytics strategy that would

achieve the Triple Aim and serve a philosophy of One

Presbyterian

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What is the Vision for Analytics at PHS?Macro View

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What is the Vision for Analytics at PHS? Micro View

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The “7-fold Path”: A Unique Data and Analytics Operating Model to Guide the Way

Value

Realization

Analytics

Organization

Data

Warehousing

&

Architecture

Information

Management

Value

Discovery

and Design

Governance & Sponsorship

Change Management

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EDW

PHS Innovation Factory

Customer Experience

Analytics Tool

Business

Intelligence Tools

Care Management

Analytics Tool

Provider Practice

Pattern Analytics Tool

Enterprise Decision

Support ToolData Governance

Data Governance

MDM/RDM

Claims/

Member/Provider

EHR/Clinical Satisfaction Other

Future External Data Sources (e.g. MSO)

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Care Management Analytics

Assess

Focus

Predict

Develop

Identify, Stratify

Monitor

Evaluate

Use multiple data sources to analyze and understand the health of a defined population

Identify cost drivers and health improvement opportunities

Utilize predictive analytics to determine risk of future adverse outcomes

Evidence-based programs and services and plan for evaluation

Implement programs and services

KPIs and use QI processes to ensure intervention

success

Longer term outcomes

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Analytics – Identification & Stratification

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Social Determinants of Health

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Provider Practice Pattern Analytics

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Customer Experience Analytics

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Value Realization

2016 & 2017

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Analytics Maturity

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Seeing is Believing - 2016

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Seeing is Believing - 2017

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Seeing is Believing - 2017

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IM Governance Value Realization

IM Governance is foundation for the data driven culture

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People: OpportunitiesPartnership & Operations Knowledge

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Processes: Opportunities

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Technology: OpportunitiesExecution - How Do We Accelerate?

Building blocks and the optimal path to get us there while simultaneously

delivering the value

Timeline

Where we were

(2016)

2017-18

Building

Blocks

Building

Structures

What will it

look like

2018-19

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Progression of Change/Data-Driven Culture Adoption

All parts of the organization proactively seek out data to identify options for

solving business problems and to make critical decisions

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Potential Barriers to Adoption

• Lack of awareness

• Burden - one additional thing on the top of an already overflowing list of things to do

• Steep learning curve

• Business stakeholder - a data analyst assumption

• Fear of change

• Surveillance anxiety

• Distrust of data/results

Data Analytics is complicated, scary, and not my job!

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Data-Driven Culture

Data Democratization

Data Literacy

Data Analysts

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Essential IngredientsInsights Search – User Experience

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Essential Ingredients

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Essential Ingredients

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Socialization, Engagement, and Adoption

Socialization

• Cognitive

• Aware and informed

Engagement

• Emotional

• Liking & Preference -Valuing

Adoption

• Behavioral

• Using and championing

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Data-Driven Culture: Lessons Learned

1. Always remember that it is people that adopt new tools, not organizations

2. People are busy – so understand their workflow and integrate into their daily routine

3. Alleviate Customer pain by helping them solve their business problems

4. Build trust: Relationships, Give credit, Make your customers better at their job, Use results to teach not reprimand

5. Sell results

6. Nurture Evangelists

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Data-Driven Culture: Lessons Learned

7. Follow Product Management Approach with Data and Analytics Tools

8. Information Management Governance is Key

9. Start Small and Show Value

10. Leverage Business Champion(s)

11. Consider Implementing Center of Excellence/Knowledge Center to Increase Operational Knowledge of Data and Analytics Staff

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Questions

Soyal Momin

[email protected]

505-923-7532