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!!!
Ask for a Demo NOW!
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