Edgwater attended the NPSF 2012 Patient Safety Congress in order to showcase our proven expertise in developing Patient Safety & Quality systems and processes. This presentation highlights some Edgewater client success stories as well as a demonstration of dashboards developed as part of our projects.

1. Edgewater’s Healthcare Consulting Practice
Patient Safety & Quality Integrated
Data Solutions

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3. Edgewater Corporate Overview
► 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
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4. Healthcare Focus Areas & Practice Offerings
Healthcare Analytics Implementation Spectrum
Quality of Patient Panel
Surgical Service Line Embedded &
Care, Patient & Physician
Analytics Analytics Predictive
Safety Relationships
Analytics
Finance & Enterprise /
Utilization CRM in Subject Area
Strategic
Value and & Cost Healthcare Implementation
Planning
Impact to
the Enterprise / Subject
Area Data Strategy
Organization & Roadmap
Focused Data
Mart or Pilot
EDW Solution
BI Analytics
Data Quality or FastTrack!
Readiness
Assessment
Level of Data
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Integration

5. Phase 1:
Enterprise
Data Strategy
Phase 2:
Pre-Production
Implementation
Comprehensive
Enterprise Data
Cancer Center
Warehouse to Phase 3:
Support Production
Personalized Implementation
Medicine

6. Healthcare & Life Sciences Customers
►
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7. 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 and
BI Tools
Enterprise Data Strategy; Data Integration; Clinical,
Operational, Financial Performance Improvement
► Quality Data Management System –
Integrated EDW
Data Integration; Surgical Care Improvement (SCIP)
Metrics; Q&A and Use Case Methodology
► Service Line Definition Data Governance
Integrated Patient Safety, Quality, Pharmacy, Lab
and Infection Surveillance Data
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8. Edgewater Technology: Case Examples: Providers
► Financial & Strategic Analysis Redesign
and Assessment
Service Line Definition, Organizational Assessment,
Data Mart , Analytic and Reporting Implementation
► Enterprise Data Strategy
Strategic Vision & Benefits, Implementation
Roadmap; EDW Strategy & Tools
► Enterprise Information Management
(EIM) Strategy
Best Practices, Strategic Vision & Benefits,
Implementation Roadmap; EDW Strategy & Tools
► Enterprise Data Strategy
Strategic Roadmap; Business Requirements;
Conceptual Data Architecture
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9. Why We’re Here: Improving Safety & Quality
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
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10. What We’ve Heard: Strategic Goals & Objectives
► 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
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11. What We’ve Heard: Challenges
► 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
#1 – It takes TOO LONG to report quality measures!
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12. Applying Advanced Analytics Best Practices
Business Intelligence Maturity Model
Where Where
Hospitals Decision Making & Hospitals
Analyze Action
ARE SHOULD
Information
Too much time BE
collecting data… Decision Making &
Action
% Time Spent
Not enough time
analyzing results Analyze
and Information
making decisions Collect Data
Analyze
Information
Collect Data Collect Data
Classic Reporting BI & Analytic Tools First Generation EIM
Less Mature More Mature
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13. Can You Answer these in Real Time?
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14. Vision: Advanced Analytics for Quality Data
- Cost per Case
- ALOS
Highly Aggregated - Quality Compliance
/ C-Level
Con
ility
sist
• Cost savings opportunities by standardizing material
b
enc
cea
and implant choices
- Core Measures
y
Tra
• Case Volume by Specialty – market alignment
- ASA AQA
• Improve resource utilization; patient satisfaction - NSQIP
Executive Vo Quality Department
cab
s
User
rd
nda
• Reduce costs by automating report development
u lar
Sta
• ID opportunities to reduce SSI’s, re-admits, ALOS
yS
• Improve compliance with regulatory mandates
y
tan
Functional User
ntr
dar
ta E
ds
Da
Power User Analyst / Informaticist
• Analytic & reporting tools
- SCIP, PN, AMI
• Report development and distribution
- Beta-blocker
• Monitor data quality; standardize vocab. - Foley Catheter
- PNDS
The Right Information. To the Right People. At the Right Time.
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15. Case Example: Regional Academic Medical Center
Service Line Analytics
► 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
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16. Case Example: Academic Medical Center
Patient Safety & Quality Analytics
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
Core Measures AHRQ PSI Infection Control
Accountability Transitions in Care Patient Satisfaction
NDNQI & NHSN Coordination of Care Mortality
►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
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17. Organizational Deployment:
Communication & Execution
Change
Mgmt Provide Support &
Process Project Mgmt Analysis
Change Steering Committee
Identify
Establish / Update Alerts &
Priorities Dashboards
Entities Analysts
Justify Implement Patient Safety & Quality
PI Champions
PI Analysts
Identify
Design Pilot
Standard
Justify Implement Reports
PI
Design Pilot Local Response
to Q&S Metrics Data Mart
PS&Q Analytics
UBCL Data Mart
Identify
IT / EDW Support
Surgeons Nursing
Justify Implement
Safety & Quality
Data Collection
PI
Design Pilot
Implement & Physicians Capture &
Improve Analyze
Clinical Care
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18. PS&Q Data – Foundation to Enterprise Data
Competitive COMPETITIVE MARKET DATA
Market -- Market Share
-- Competitive Position; Referral Sources; Payer Mix
Outcomes
OUTCOMES DATA
Research -- Chronic Disease & Population Management
-- Targeted Quality Outcomes
-- Alternative Quality Contracts & Criteria
-- Horizontal Clinical Service Lines
Financial &
Strategic
Planning FINANCIAL DATA
-- Strategic Planning Data Mart & Metrics
-- Strategic Finance & Financial Modeling
-- Service Line Analytics
-- Health Plan & Alternative Quality Contract data
IP/OP
Clinical Data CLINICAL DATA
-- Broader Clinical Data (IP, OP, Ambulatory, etc.)
-- OP and IP Systems & Sources
-- OP measures (e.g., PQRI)
PS&Q
Data
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19. Case Example: Integrated Health System
► 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
“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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20. Case Example: Regional Health System & AMC
► 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
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21. Case Example: Comprehensive Cancer Center
► 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
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22. 3 Hospitals 7 Source Systems 140 IP Quality Measures
ALL IN 1 PLACE!!!
Ask for a Demo NOW!
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