Edgewater’s Healthcare Consulting Practice

Patient Safety & Quality Integrated Patient Safety & Quality Integrated Data SolutionsData Solutions

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► Founded in 1992► Publicly traded (NASDAQ: EDGW)

– Public in 2002► Co-founders still with the Company► 400+ employees, 75%+ billable consultants► Large North American footprint

– New UK offshoot► Focus on upper middle and Global 2000 markets

Edgewater Corporate Overview

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Healthcare Focus Areas & Practice Offerings Healthcare Analytics Implementation Spectrum

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BI Analytics FastTrack!Data Quality or

Readiness Assessment

Enterprise / Subject Area Data Strategy

& Roadmap

Focused Data Mart or Pilot EDW Solution

Enterprise / Subject Area

ImplementationValue and Impact to

the Organizatio

n

Embedded & Predictive Analytics

Quality of Care, Patient

Safety

Utilization & Cost

Surgical Analytics

CRM in Healthcare

Service Line Analytics

Finance & Strategic Planning

Level of Data Integration

Patient Panel & Physician

Relationships

Phase 2:Pre-Production Implementation

Phase 2:Pre-Production Implementation

Phase 3:Production

Implementation

Phase 3:Production

Implementation

Enterprise Data

Warehouse to Support

Personalized Medicine

Enterprise Data

Warehouse to Support

Personalized Medicine

Phase 1: Enterprise

Data Strategy

Phase 1: Enterprise

Data Strategy

Comprehensive Cancer Center

Comprehensive Cancer Center

Healthcare & Life Sciences Customers

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►

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Edgewater Technology: Case Examples: Providers► Total Cancer Care – Enterprise Data

Warehouse (EDW)Personalized Medicine; Integrated Clinical & Research Data; Data Strategy; Q&A Methodology

► Surgical Analytics – Integrated EDW andBI ToolsEnterprise Data Strategy; Data Integration; Clinical, Operational, Financial Performance Improvement

► Quality Data Management System – Integrated EDWData Integration; Surgical Care Improvement (SCIP) Metrics; Q&A and Use Case Methodology

► Service Line Definition Data GovernanceIntegrated Patient Safety, Quality, Pharmacy, Lab and Infection Surveillance Data

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Edgewater Technology: Case Examples: Providers

► Financial & Strategic Analysis Redesignand AssessmentService Line Definition, Organizational Assessment, Data Mart , Analytic and Reporting Implementation

► Enterprise Data StrategyStrategic Vision & Benefits, Implementation Roadmap; EDW Strategy & Tools

► Enterprise Information Management(EIM) StrategyBest Practices, Strategic Vision & Benefits, Implementation Roadmap; EDW Strategy & Tools

► Enterprise Data StrategyStrategic Roadmap; Business Requirements; Conceptual Data Architecture

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Proven expertise in Patient Safety & Quality, Systems & Processes►Successful projects include:

– Automated collection and reporting of Core Measures– Standardized data collection for quality metrics– Embedded anticipated values in clinical applications for

efficient data entry, with highest rates of compliance– Integrated multiple sources of quality data into one data

store automated reporting advanced analytics►Return on Investment (ROI)

– Faster time-to-decisions based on near-real-time analysis– Reduced or eliminated manual processes– Automated data collection and report generation– Standardized data sources & metrics across multiple facilities

Why We’re Here: Improving Safety & Quality

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► Patient Safety & Quality Teams Want To:– Create a single version of the truth = “trusted data”– Eliminate redundancy of work– Eliminate paper and manual processes– Standardize data collection processes– Implement standards for naming and defining metrics and data elements– Automate data collection and aggregation – Provide capability to report across care settings and facilities– Provide advanced analytic capabilities for clinical intelligence and decision

support– Reduce time, effort and cost to report quality measures

What We’ve Heard: Strategic Goals & Objectives

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► Patient Safety & Quality Teams Struggle With:– Manual hand-offs and inconsistent data entry– Poor data quality – Manual data processing – Delays in getting answers and decision-making– Inconsistent training and lack of data entry standards – Siloed data sources– Outdated, incomplete technical infrastructure– Inability to identify opportunities to decrease costs and increase

reimbursement

What We’ve Heard: Challenges

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#1 – It takes TOO LONG to report quality measures!

Applying Advanced Analytics Best Practices

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Collect Data

Collect Data Collect Data

Analyze

Information

Analyze

Information

Analyze Information

Decision Making & Action

Decision Making &

Action

Classic Reporting BI & Analytic Tools First Generation EIM

Less Mature More Mature

% T

ime

Spe

nt

Collect Data

Collect Data Collect Data

Analyze

Information

Analyze

Information

Analyze Information

Decision Making & Action

Decision Making &

Action

Classic Reporting BI & Analytic Tools First Generation EIM

Less Mature More Mature

% T

ime

Spe

nt

WhereHospitalsAREToo much time collecting data…

Not enough time analyzing results and making decisions

Business Intelligence Maturity ModelWhere

Hospitals

SHOULD BE

Can You Answer these in Real Time?

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Vision: Advanced Analytics for Quality Data

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ExecutiveUser

Functional User

Power User

Highly Aggregated / C-

Level

Analyst / Informaticist

• Cost savings opportunities by standardizing material and implant choices

• Case Volume by Specialty – market alignment

• Improve resource utilization; patient satisfaction

• Reduce costs by automating report development

• ID opportunities to reduce SSI’s, re-admits, ALOS

• Improve compliance with regulatory mandates

• Analytic & reporting tools

• Report development and distribution

• Monitor data quality; standardize vocab.

The Right Information. To the Right People. At the Right Time.

Quality Department

- Cost per Case- ALOS- Quality Compliance

- Core Measures - ASA AQA - NSQIP

- SCIP, PN, AMI- Beta-blocker- Foley Catheter- PNDS

Tra

ceab

ility

Consistency

Dat

a En

try

Stan

dard

s

Vocabulary Standards

► The Need– Needed an Enterprise Data Strategy for Financial

and Strategic Analysis and Planning– Anticipate Integration with Separate Initiative

Focused on Clinical Data Integration► The Solution

– Service Line Definitions– Service Line Analytics– Extensible Rules-Based Data / SL Definition Architecture

► The Benefits– Integrated View of Service Lines Across Units and Care Settings– Immediate KPIs: Net Patient Revenue, Contribution Margin, Market Share– Greater Consistency & Efficiencies in Operations & Outcomes

Case Example: Regional Academic Medical CenterService Line Analytics

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The Need►Establish common, consistent definitions and metrics for safety & quality►Implement standardized reporting processes across all business units►Timely external & internal reporting/analytics to relevant committees & groups

►Anticipate organizational readiness for new standardized reporting

The Benefits►Standardized 132 metric definitions; integrated 7 source systems; DQ cleanup►Master Data - Provider (NPI) and Hospital Location ►Change the focus of our analysts from data production to data analysis►Automated quality data collection = better accuracy and more timely data►Enable a faster quality improvement cycle time by front line leaders

Case Example: Academic Medical CenterPatient Safety & Quality Analytics

Core Measures AHRQ PSI Infection Control

Accountability Transitions in Care Patient Satisfaction

NDNQI & NHSN Coordination of Care Mortality

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Clinical Care

Patient Safety & QualityAnalysts

Organizational Deployment: Communication & Execution

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Entities AnalystsPI Champions

UBCL

Surgeons Nursing

Physicians

Process Change

Change Mgmt

Project Mgmt

Standard Reports

Alerts &Dashboards

Safety & Quality Data Collection

Establish / UpdatePriorities

Provide Support &Analysis

Data Mart

PS&Q AnalyticsData Mart

Steering Committee

Local Responseto Q&S Metrics

Capture &Analyze

Implement &Improve

IT / EDW Support

PI

Identify

Implement

PilotDesign

Justify

PI

Identify

Implement

PilotDesign

Justify

PI

Identify

Implement

PilotDesign

Justify

PS&Q Data – Foundation to Enterprise Data

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IP/OP

Clinical Data CLINICAL DATA-- Broader Clinical Data (IP, OP, Ambulatory, etc.)-- OP and IP Systems & Sources-- OP measures (e.g., PQRI)

FINANCIAL DATA-- Strategic Planning Data Mart & Metrics-- Strategic Finance & Financial Modeling-- Service Line Analytics-- Health Plan & Alternative Quality Contract data

Financial &Strategic Planning

Outcomes Research

PS&Q Data

OUTCOMES DATA-- Chronic Disease & Population Management-- Targeted Quality Outcomes-- Alternative Quality Contracts & Criteria-- Horizontal Clinical Service Lines

Competitive Market

COMPETITIVE MARKET DATA-- Market Share-- Competitive Position; Referral Sources; Payer Mix

► The Need– Needed an Enterprise Strategy to Exploit

Anticipated EMR (Epic Systems) Data– Needed an Initial Focus Area as a Proof-of-

Concept for the Enterprise Strategy► The Solution

– Enterprise Data Strategy / Implementation Roadmap – Surgical Services Analytics– Integrated 5 Application Systems & Sources for 7 Facilities

► The Benefits– Enables Unified Clinical, Operational, Financial Views– Realizing Savings of $3M+ in Year 1; From $20M to $4M Invtry-on-Hand

Case Example: Integrated Health System

“Bringing together critical data on surgical scheduling, materials, labor and outcomes in an integrated BI framework is having a dramatic impact on our performance improvement and cost reduction programs.” VP, Enterprise Informatics

“Bringing together critical data on surgical scheduling, materials, labor and outcomes in an integrated BI framework is having a dramatic impact on our performance improvement and cost reduction programs.” VP, Enterprise Informatics

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► The Need– Needed an Enterprise Data Strategy for Cancer

Center Informatics and Service Line Analytics– Outlining Strategy to Pursue NCI CCC Designation – Seeking to Bring Advanced & Consistent Care to Member

& Affiliate Hospitals► The Solution

– Enterprise Data Strategy & Roadmap– Phased Plan for Analytics Platform: Clinical, Operational, Research, Financial– Implementing Disease-Site-Specific Evidence-Based Guidelines– Additional Potential Areas: Physician Patient Panel & Referrals

► The Benefits– Multi-Year Roadmap for Pursuit of Integrated Strategy Across System– Platform for Service Line & Quality Analytics Across Regional Care Settings– Increased Collaboration & Greater Consistency in Operations & Outcomes

Across Member & Affiliate Sites

Case Example: Regional Health System & AMC

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► The Need– Numerous, Diverse Source Systems– Lack of Integration: Data, Process– Needed a Strategy for Enterprise Data

► The Solution– Integrated 14 Subject Areas– Comprehensive Data Architecture – Focus on Personalized Medicine

► The Benefits– “360º View of the Patient”– For-Profit Partnership– Attracting $90M+ in Investments– New Licensing Revenue Streams

Case Example: Comprehensive Cancer Center

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3 Hospitals 7 Source Systems 140 IP Quality Measures

ALL IN 1 PLACE!!!

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