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Healthcare Data Warehousing for Business Coalitions

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Title: Healthcare Data Warehousing for Business Coalitions


1
Healthcare Data Warehousingfor Business
Coalitions
  • James W. Lederer, MD, Chief Medical Officer
  • Geoff T. Wood, President CEO
  • Salem Health Solutions

2
Learning Objectives
  • Data Sources
  • Public vs. Private
  • Utility/Applications
  • Technology
  • Phased Approach to Implementation by Coalitions
  • Build vs. Buy

3
(No Transcript)
4
The Urgent Need to Improve Health Care Quality
Institute of Medicine National Roundtable on
Health Care Quality JAMA 1998 2801000-1005
5
After the IOM Report
  • IOM - 98,000 deaths a year, cost 37B/year
  • AHRQ - 770K injuries and deaths a year due to
    adverse drug events
  • RWJF - very high percent of all doctors, nurses
    have witnessed a serious medical error
  • RAND - patients receive appropriate care only 50
    of the time (NEJM June , 2003)

6
After the IOM Report
PRESS RELEASES Released 1.26.00 BRT-Sponsored
Initiative Focuses on Patient Safety Testimony
Highlights Employers' Efforts to Reduce Medical
Errors Washington, DC - Speaking before the
Senate Health, Education, Labor and Pensions
(HELP) committee today, Dr. Arnie Milstein
discussed an innovative initiative sponsored by
The Business Roundtable (BRT) to address patient
safety and quality issues in America's health
care system. The program, entitled the "Leapfrog
Initiative, encourages large employers to
recognize and reward health plans and hospitals
that make breakthrough improvements in patient
safety and quality with preferential use and
other market reinforcements.
7
Hospital Quality Data
  • Historically, all hospitals were perfect because
    the physicians who worked within the hospitals
    were perfect and told us so.
  • It is a capital mistake to theorize before one
    has data. Insensibly, one begins to twist facts
    to suit theories, instead of theories to suit
    facts. Sir Arthur Conan Doyle (1859 - 1930)
  • Quality is never an accident it is always the
    result of intelligent effort. John Ruskin (1819 -
    1900)

8
Hospital Quality
  • JCAHO
  • Mission To continuously improve the safety and
    quality of care provided to the public through
    the provision of health care accreditation and
    related services that support performance
    improvement in health care organizations

9
(No Transcript)
10
Get the Gold!!!
  • Quality is the pot of gold at the end of the
    rainbow, information is the path to the gold, and
    hospitals are the Leprechauns who control the
    path and the pot of gold.
  • Youve got to get the gold from the Leprechauns!
  • Be sure you got All the gold!
  • Be sure what you got IS gold!
  • Remember sometimes the path to the gold is not
    clear or understandable!

11
The Right Path to the Gold??
  • Early Databases and Quality Reports
  • Medpar, Healthgrades, US News and World Report
    Best Hospitals, JCAHO
  • Healthcare systems historically used these as
    primary gauges of quality
  • Easy Access
  • Nationally recognized
  • Publicly recognized
  • CMS Mandated

12
The Right Path to the Gold??
  • Medpar, Healthgrades, US News and World Report
    Best Hospitals, JCAHO
  • Limited clinical data, limited outcomes data
  • The quality connection is thin
  • Not always apples-to-apples comparison
  • The data is 2 years old - medical technology is
    changing much faster than that!
  • To most physicians, the data is not meaningful
  • Useless data for performance improvement
    activities within a hospital

13
A New Path is Found to the Quality Pot of Gold
  • JCAHO Core Measures
  • CMS Public Reporting Initiative
  • Leapfrog
  • National Quality Forum
  • National Committee for Quality Assurance
  • Agency for Healthcare Research and Quality

14
A New Path is Found to the Quality Pot of Gold
  • Evidence-based literature underpinnings
  • More clinical, outcome-based data though still
    many process measures reported
  • Represent major service lines, patient safety
    issues, and include outpatient data
  • National targets agreed upon - provides for
    comparative databases to be developed
  • More meaningful data to physicians
  • Also easily accessed

15
Other Paths Can Also Lead to Rich Rewards
  • Provider-driven clinical improvement initiatives
  • Use of severity-adjusted data to analyze
    performance across the continuum of care
  • Alter physician behavior and service line
    processes to improve outcomes
  • Preparation for Pay for Performance by CMS,
    commercial and employer groups

16
Provider-Driven Improvements
17
Whats an employer to do??
18
The Missing 70
  • Medical claims
  • Office visits
  • Ambulatory Surgical
  • ER
  • Hospital outpatient
  • Pharmacy
  • Disability
  • Workers Comp
  • Productivity

19
What You Really Need Actionable Information Not
Data
  • Local market analyses
  • Real time information vs. aged, static reports
  • Information that engages all stakeholders
  • Consumer
  • Employer
  • Payer/TPA
  • PBM
  • Physicians
  • Hospitals

20
Leveraging Technology to Get What You Need
  • Technology now exists
  • Driving the evolution of healthcare Data to
    Information, to Intelligence
  • Foundation for meaningful financial and clinical
    decision-making
  • Real-time information to decision makers where
    and how they need it
  • HIPAA/ ERISA Security compliance

21
Phased Approachto Implementation
byCoalitions
22
Phase One Data Integration Validation
  • Integrate disparate sources of data
  • Medical claims
  • Pharmaceutical claims
  • Clinical observation data
  • Disability and Workers Compensation claims
  • Worker productivity data (i.e., absenteeism)
  • Other health data (HRAs, DM data, etc.)
  • Establish data credibility

23
Phase 2 Data Hosting
  • Systems built specifically to accommodate
    healthcare clinical and administrative data
  • Customized for each Coalitions unique
    initiatives
  • Current, plus 2-3 years historical data

24
Phase 3 Data Transformation
  • Provider data
  • Provider Profiling
  • Based on claims data
  • Quick identification of outliers
  • Severity adjustment
  • Based on claims and ancillary hospital data
  • Refined performance stratification
  • Medical and pharmaceutical data
  • Predictive modeling
  • Population and Member Profiling

25
Predictive Modeling
  • Improvement in the accuracy of forecasting and
    budgeting for employee health related costs.
  • R2 values of 0.27
  • Traditional actuarial values lt 0.19
  • Health risk profile of all members of the
    population.
  • Identification of the highest risk members most
    likely to benefit from disease management
    interventions.

26
Provider Profiling
27
Provider Profiling
28
Severity Adjustment Overview
  • Multiple tools in the marketplace
  • Industry recognized models, no industry standards
  • Adjust severity in highly accurate and
    statistically valid manners
  • Define disease states/conditions to analyze
    majority of patient encounters
  • Report key Clinical, Financial and Quality
    indicators by disease/condition
  • Benchmarks facility and physician performance
    internally and against external databases

29
Benefits of Severity-Adjustment Tools
  • Physician acceptance and trust of data
  • Apple-to-apple comparisons
  • Utility of data
  • Ability to view stratified risk factors and
    outcomes
  • Side-by-side comparison of cohorts

30
Phase 4 Data Analyses
  • Mine, analyze, organize, and share your data to
    discover opportunities for improvement.
  • Define standard clinical and financial analyses
    that
  • Establish benchmarks
  • Prompt ad hoc queries

31
INSIGHT
ACTION
Cost Driver Analysis
Taking Control
Continuous Improvement
Center of Excellence Contracting Network
Tiering Utilization Controls
HIGH Unit Price - LOW Frequency
Periodic Review Risk Prediction Outcomes
Analyses ROI Evaluation Evidence-Based Medicine
Benchmarking
Transplants Specialty Pharma
Disease Disability Management
Carve-Outs Total Population Management
HIGH Total Case Cost
Chronic Illness Shock Claims
LOW Unit Price - HIGH Frequency
Employee Education Consumer Benefit Designs
Antibiotics Labs Office Visits
Analytic Approach Driven by Technology
32
Phase 5 Project Definition/Implementation
  • Example Community Diabetes Treatment Project
  • Member selection
  • Initial provider tiering
  • Patient volume
  • Bell-curve or four-quadrant assignment based on
    historic data
  • Evidence-based medicine guidelines
  • Evaluation metrics
  • Provider incentives

33
Phase 5 Project Definition/Implementation
  • Deployment of information pertinent to all
    stakeholders
  • Education, education, education
  • HIPAA-compliant, 24/7/365 web-enabled access

34
Phase 6 Project Management
  • Trend your data to track the progress of your
    actions
  • Use stoplights
  • Issue Report Cards
  • Generate targeted satisfaction and outcome
    surveys
  • Pay for Performance based on severity-adjusted
    data
  • If you cant measure it, you cant manage it.

35
Using Technology for.
Work/life support
Provider performance
Health risk assessments
Tiered network
Disease management
Gap analysis
Direct provider contracting
Wellness programs
Data Warehouse Analytic tools
Forecasting
Consumer-centric initiatives
Monitoring vendor performance
Plan design
Product Development
Measuring ROI
Information Transparency
Re-insurance Stop-loss needs
Cost Quality Improvement
36
Key Warehouse and Analytic Benefits
  • Access longitudinal data despite vendor/plan
    changes
  • Improve outcomes
  • Reduce lost time
  • Impact costs
  • Gaining Control
  • Being Proactive versus Reactive

37
Bottom Line ROI
  • Beyond hospital data
  • Technology available today
  • Less expensive and more practical than ever
  • More efficient to buy than build
  • Faster implementation
  • Minimal upfront investment
  • Leverage the experience of others
  • Yields a minimum ROI of 21, plus the greater ROI
    of better healthcare for employees more
    productive workforce
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