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1 Building an Effective Dashboard: What Does the Customer Want? What can Clinical and Business Intelligence Provide? Session #PCM5, February 19, 2017 Charles Boicey, MS, RN-BC, CPHIMS, Chief Innovation Officer, Clearsense Gregory Strevig, AVP, Enterprise Information Management, Geisinger

Building an Effective Dashboard: What Does the Customer ... · BI and Analytics Forecast for 2016 Solutions Review 1 • Visualization and storytelling • Governed data discovery

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Page 1: Building an Effective Dashboard: What Does the Customer ... · BI and Analytics Forecast for 2016 Solutions Review 1 • Visualization and storytelling • Governed data discovery

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Building an Effective Dashboard: What Does the Customer Want? What can Clinical and Business Intelligence Provide?

Session #PCM5, February 19, 2017

Charles Boicey, MS, RN-BC, CPHIMS, Chief Innovation Officer, Clearsense

Gregory Strevig, AVP, Enterprise Information Management, Geisinger

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Conflict of Interest

Charles Boicey

Greg Strevig

Have no real or apparent conflicts of interest to report.

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Learning Objectives

• Describe key tenants to an effective dashboard build including timeliness

and interactivity

• Construct visualization examples to assist with population health

management strategies

• Discuss potential metrics that may become more important in the future

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Agenda:

• Introduction of Panelists

• Panelists will Share Their Stories

• Moderators will Facilitate Q&A with Panelists

• Audience Q&A

• Closing Remarks

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Panelists: • Charles Boicey, MS, RN-BC, CPHIMS, Chief

Innovation Officer, Clearsense

• Greg Strevig, AVP, Enterprise Information Management, Geisinger

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Speaker Introduction: Charles Boicey

Charles Boicey, MS, RN-BC, CPHIMS

Assistant Clinical Professor

Stony Brook Medicine

Chief Innovation Officer

Clearsense

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Visualization = Workflow

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System 1 represents the automatic and intuitive thinking process.

System 2 represents the thinking process that requires effort and attention.

Vision Coupled with Thought

Source: Kahneman, Thinking Fast and Slow, 2011

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Data Visualization and Human Perception

Out of Balance

Thinking

Intuition

200

123

40

75

200

10534

7536

15

50

289

2078

38

Surgical Cases January, 2012

n = 1,378

Ortho

CT Surg

Neuro

Confusion

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Data Visualization and Human Perception

Balanced

Intuition Thinking

Understanding

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Healthcare Infographic

https://www.pinterest.com/paulsonnier/digital-health-infographics-paul-sonnier

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Speaker Introduction: Greg Strevig

Greg StrevigAVP Enterprise Information Management

Geisinger Health System

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Agenda

• Health System Overview

• Semantic Framework

• Top Down, Bottom Up Integrated Solution

• Governance, Data Management and more…..

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About Geisinger• Geisinger Health System is one of the nation's largest health service

organizations, caring for more than 3 million residents throughout 45 counties in central, south-central and northeast Pennsylvania, and southern New Jersey.

• The physician-led system is comprised of approximately 30,000 employees, including nearly 1,600 employed physicians, 10 hospitals, two research centers, 7 air ambulances (Life Flight®) and a 550,000-member health plan.

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Semantic Framework

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Executive Leadership Dashboard

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Data Governance Core Principles

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Enterprise Data Framework

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BI and Analytics Forecast for 2016

Solutions Review 1

• Visualization and storytelling

• Governed data discovery and self-service

• Big data for non-traditional data sources

• More data from external sources to add context

• Mobility

Gartner 2

• Business-led self-service analytics

• Self-service data prep and data discovery

• Convergence of data discovery tools to handle multiple platforms

PC Mag 3

• Self-service beyond analysts

• Advanced, customizable

visualizations

• Governed data discovery

• Access and usage of data

• IoT and real-time

• Mobility

• Analytics on Hadoop

Forbes 4

• Self-service data prep (skills and

tools)

• Governed data discovery

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Sources1. “Former Gartner Analyst Reveals 2016 Business Intelligence Market

Predictions”; Solutions Review; Nov 23, 2015; http://solutionsreview.com/business-intelligence/former-gartner-analyst-reveals-2016-business-intelligence-market-predictions/

2. “Magic Quadrant for Business Intelligence and Analytics Platforms”; Gartner; Feb 4, 2016; https://www.gartner.com/doc/reprints?id=1-2WQY2ZG&ct=160121

3. “10 Business Intelligence Trends for 2016”; PC Mag; Dec 11, 2015; http://www.pcmag.com/article2/0,2817,2496370,00.asp

4. “Six Business Intelligence Predictions For 2016”; Forbes Magazine; Dec 17, 2015; http://www.forbes.com/sites/groupthink/2015/12/17/six-business-intelligence-predictions-for-2016/#1a2b3d254f83

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Questions?

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Thank you!