Hospitals, payers and physician groups alike are facing changes in healthcare that require their attention. These changes are a result of financial forces that are changing the ways healthcare services are paid, cost of care pressures, ever-changing patient population behaviors, improvements in the science of health care and federal regulations tied to incentives that are soon turning to penalties. Anyone in health care is grappling to understand these changes and chart their strategies to be prepared for the future. The presenters have proven expertise developing their strategies to care for patients in an accountable care model using data to drive their strategies. The presenting organizations will talk through their strategy including their future expectations and early results using data to identify improvement opportunities and to shift the clinical approach to health care. In addition to strategy, they will share solutions and analytic applications critical to the current and future expected results of their strategy.
Text of DATA-DRIVEN CARE: THE KEY TO ACCOUNTABLE CARE DELIVERY FROM A PHYSICIAN GROUP PERSPECTIVE
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Copyright 2014 Health Catalyst www.healthcatalyst.comCreative
Commons Copyright Dr. Greg Spencer & Luke Skelley Data Driven
Care: The Key to Accountable Care Delivery from a Physician Group
Perspective
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Copyright Todays Agenda Why a regional physician group is heavily
investing in analytics and data warehousing Crystal Run Healthcares
strategy to turn data into improved care as well as financial
viability in the future How Crystal Run manages across its patient
population who are covered by 24 payer entities Some of the
preliminary challenges and successes engaging clinicians in the use
of data The importance of an adaptive data architecture to turn
clinician questions into actionable results
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Copyright POLL QUESTION #1 What best describes the group you belong
to? Health Plan Physician Group Provider Organization Vendor
Other
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Copyright Crystal Run Healthcare Physician owned MSG in NY State,
founded 1996 300+ providers, 16 locations Joint Venture ASC, Urgent
Care, Diagnostic Imaging, Sleep Center, High Complexity Lab,
Pathology Early adopter EHR (NextGen) 1999 Accredited by Joint
Commission 2006 Level 3 NCQA PCMH Recognition 2009, 2012
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Copyright Crystal Run Healthcare Single entity ACO April 2012: MSSP
participant December 2012: NCQA ACO Accreditation 25,000 commercial
lives at risk MSSP 10,400 attributed beneficiaries 82% primary care
services within ACO
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Copyright Crystal Run Healthcare The mission of Crystal Run
Healthcare is to improve the quality and availability of, and
satisfaction with, health care services in the communities we
serve. To accomplish this goal, the practice emphasizes both
traditional medical excellence as well as responsiveness to
consumer needs through service excellence and patient
empowerment.
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Copyright The Goal: The Triple Aim Improve the health of the
population Enhance the patient experience of care Reduce, or at
least control, the per capita cost of care
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Copyright Crystal Run Strategy and Objectives Embrace goals of
Triple Aim Physicians play a crucial role in driving change in
healthcare Focus on providing coordinated care Population health
management is critical Competition from hospitals and health plans
is occurring Coverage area is expanding, and needs to expand
further Physicians and their teams need to work together for the
best of their patients A strategic pillar is to be the practice of
choice for physicians, patients, and employees
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Copyright Crystal Run Governance Model Establish data warehouse
priorities Set policies for data access, information security and
privacy Develop process for setting data definitions and standards
Coordinate with Partners eCare leadership JOINT CLINICAL AND
FINANCIAL GOVERNANCE MODEL Hal Teitelbaum, MD, JD, MBA Managing
Partner & CEO MichelleA. Koury, MD Chief Operating Officer Greg
Spencer, MD Chief Medical & Chief Medical Info Officer Mary
DeFreitas Chief HR Officer Erlene Washington Senior VP of Finance
&Accounting EDW EXECUTIVE SPONSORS Greg Spencer, MD CMO &
CMIO Jonathan Nasser, MD Medical Director Miguel Hernandez
Technology Director Lou Cervone BI Director EDW Steering Committee
EDW GOVERNANCE
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Copyright Crystal Run Care Management Strategies Embedding Care
Managers at different offices, medical homes and hospitals Identify
high-risk patients from registries and PCP/ team referral Implement
evidence based protocols Use EHR and mobile / home devices
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Copyright Crystal Run Quality Structure 27 divisions each headed by
its own physician specialist Manage quality efforts and information
Work with Best Practice Council (quality committee) to define
registries Report to practice-level committee for quality and
patient safety
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Copyright 2014 Health Catalyst www.healthcatalyst.comProprietary
and Confidential 12 Why Crystal Run is heavily investing in
analytics and data warehousing
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Copyright POLL QUESTION #2 If you are a health plan, physician
group, or provider organization, do you currently exchange clinical
and claims data with these other constituents?
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Copyright Crystal Run Data Analytics Strategy Implementing formal
quality improvement methodology Implementing EDW with multiple data
sources Implementing analytical applications Daily financial
reporting Order tracking: In-house vs. Sent out Claims Data
Integration RVUs Standardization
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Copyright Crystal Run Analytics Current State Quality improvements
heavily dependent upon data Using simple analytical tools Excel,
Access, Tableau Time and effort spent on manual data entry and
extraction is excessive and poorly scalable Decisions about what
data to use based on amount of disruption vs. value Data
entry/analysis not done at Top of Licensure Reporting quality
metrics resource intensive kept it simple
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Copyright Physician Dashboard
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Copyright Physician Dashboard
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Copyright 2014 Health Catalyst www.healthcatalyst.comProprietary
and Confidential Turning data into improved care & ensuring
financial viability in the future
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Copyright Dr. J. 15 Cases $60,000 Avg. Cost Per Case Mean Cost per
Case = $20,000 $40,000 x 15 cases = $600,000 opportunity Total
Opportunity = $600,000 Total Opportunity = $1,475,000 $35,000 x 25
cases = $875,000 opportunity Total Opportunity = $2,360,000 Total
Opportunity = $3,960,000 Cost Per Case, Vascular Procedures
Physician Variation Analysis
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Copyright Crystal Run Results Reduced hospital admissions 4+% in
one year Improved mammogram rates from 60-65% to greater than 75%
Achieved less than 9% rate of A1Cs > 9 Blood pressure control in
hypertensive patients improved to greater than 75%.
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Copyright Outcomes: Readmissions 16.50% 17.00% 17.50% 18.00% 18.50%
19.00% 19.50% 20.00% Q2-2012 Q3-2012 Q4-2012 Q1-2013 Q2-2013
Q3-2013 CRHC Linear (CRHC) 30 Day Readmission Rate for
Medicare
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Copyright Total cost difference 2012 pre-pathway 791 patients
$595,920 2013 post-pathway 817 patients $368,160 TOTAL COST SAVINGS
$227, 760 PEG-filgrastim use in Breast cancer patients (equalized
as cost per patient treated)
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Copyright Reducing Pharmaceutical Costs $0 $2,000 $4,000 $6,000
$8,000 $10,000 $12,000 $14,000 Physician A Physician B Physician C
Physician D Average PEG Filgrastrim cost per patient before and
after breast cancer pathway
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Copyright A Culture Of Efficiency: Improving Access 41,823 fewer
visits 30,206 more patients Created 12 physicians
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Copyright Variation Reduction Spread Reduction in Charges DIAGNOSIS
DEPARTMENT % CHANGE PP TOTAL $$ CHANGE CHF Cardiology -6% -$53,457
Diabetes PCP/Endocrine -17% -$844,755 Thyroid Nodule Endocrinology
-26% -$304,224 Otitis Externa ENT -2% -$2,373 GERD GI -20%
-$178,381 Cholelithiasis General Surgery -7% -$11,408 COPD
Hospitalists -20% -$9,215 HTN Primary Care -16% -$943,002
Hyperlipidemia FP/IM -19% -$1,150,376 HA/Migraine Neurology -10%
-$208,054 Breast Cancer Oncology -7% -$393,622 Lateral
Epicondylitis Orthopedics -8% -$27,647 Asthma Pediatrics -10%
-$24,570 Asthma Pulmonology +3% +$26,238 Renal Mass Urology -4%
-$62,812 TOTAL -$4,187,658
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Copyright Variation Reduction Spread Improving Access DIAGNOSIS
DEPARTMENT CHANGE IN VISITS CHANGE IN PATIENTS CHF Cardiology -722
+213 Diabetes PCP/Endocrine -3,051 +41 Thyroid Nodule Endocrinology
-1,971 +132 Otitis Externa ENT +70 +65 GERD GI -143 +266
Cholelithiasis General Surgery -12 +59 HTN Primary Care -3,013 +339
Hyperlipidemia FP/IM -2,966 -561 HA/Migraine Neurology -550 +225
Breast Cancer Oncology -278 +16 Lateral Epicondylitis Orthopedics
-84 -4 Asthma Pediatrics -92 -134 Asthma Pulmonology -66 +1,132
Renal Mass Urology -11 -6 TOTAL -12,889 +1,783
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Copyright 2014 Health Catalyst www.healthcatalyst.comProprietary
and Confidential Managing patient populations across payer
entities
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Copyright Crystal Runs payer mix 24 Payer Entities No dominant
payer, so little to no leverage for discounts, etc. No dominant
payer, so payers need to contract with Crystal Run to effectively
do business in the area Complicates data analysis due to limited
population/statistics by payer
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Copyright Payer Challenges Having data-focused payer conversations
about shared savings Need claims data to support risk contracting
Multiple payers limits ability to do valid statistical modeling
Collaborating with multiple plans to develop shared savings
model
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Copyright Living in Two Worlds Improvements in quality reduces
costs to benefit of payer Reduction in patient visits offset by
increase in patient volume Hospitals acquisition of physicians not
based on value but to protect referrals Triple Aim is a threat to
hospitals Hospitals have to align optimal patient care vs. optimal
reimbursement
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and Confidential Clinician Engagement: Challenges &
Successes
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Copyright Clinician Engagement Data used in physician recruitment
and retention Data also used to support alignment and/or
acquisition decisions Sharing physician performance data helps
affect behavior even if no penalty or not tied to a quality effort
Sharing physician data makes outliers come to consensus Not all
physician practices focus on value Younger physicians sometimes
avoid change more than older ones
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Copyright Its All About the Data The limitation is data. The
doctors need performance data They have metrics to measure care ~
80% of Business Intelligences time spent gathering versus analyzing
data 90/10 of data capture time to analysis time.
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Copyright Crystal Run EDW Requirements Fast to implement and fast
to ROI Capable of easily expanding to add new data sources Library
of analytical applications Vendor with healthcare experience and
expertise Data model conducive to healthcare data Ability to become
self sufficient Long term business partner
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Copyright 2014 Health Catalyst www.healthcatalyst.comProprietary
and Confidential Adaptive Data Architecture: Turning clinician
questions into actionable results
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Copyright Provider-Payer Collaboration Provider Payer Case mix
analysis Utilization review Care management Regulatory measures
Physician profiling Prior authorizations Contracting Prevent
readmissions Evidence based guidelines Admission notification
Discharge notification Risk stratification Case management
Utilization review Wellness programs Consumer transparency Claims
dataClinical data Care gap notification Physician profiling Case
management Evidence based guidelines Wellness programs Consumer
transparency Regulatory measures
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Copyright Provider Payer Data Sharing Provider Payer Case mix
analysis Utilization review Care management Regulatory measures
Physician profiling Prior authorizations Contracting Prevent
readmissions Evidence based guidelines Admission notification
Discharge notification Risk stratification Case management
Utilization review Wellness programs Consumer transparency Care gap
notification Physician profiling Case management Evidence based
guidelines Wellness programs Consumer transparency Regulatory
measures Claims data Clinical data
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Copyright Crystal Run EDW Architecture
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Copyright Catalyst Apps and Claims Data Key Process Analysis
Executive Dashboard Integration Tool Cohort Builder Comorbidity
Analyzer Readmissions Explorer Population Explorer Claims Data
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Copyright Driven by business and clinical need Rapid development
and deployment of data sources Built incrementally (i.e., less
expensive) Ownership transferred to client with technical support
as needed Align with access roles and data stewardship
jurisdictions Applications support Healthcare Analytics Adoption
Model Catalyst Data Warehouse Advantages
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Copyright Healthcare Analytic Adoption Model Level 8 Personalized
Medicine & Prescriptive Analytics Tailoring patient care based
on population outcomes and genetic data. Fee-for-quality rewards
health maintenance. Level 7 Clinical Risk Intervention &
Predictive Analytics Organizational processes for intervention are
supported with predictive risk models. Fee-for-quality includes
fixed per capita payment. Level 6 Population Health Management
& Suggestive Analytics Tailoring patient care based upon
population metrics. Fee-for-quality includes bundled per case
payment. Level 5 Waste & Care Variability Reduction Reducing
variability in care processes. Focusing on internal optimization
and waste reduction. Level 4 Automated External Reporting
Efficient, consistent production of reports and adaptability to
changing requirements. Level 3 Automated Internal Reporting
Efficient, consistent production of reports and widespread
availability in the organization. Level 2 Standardized Vocabulary
& Patient Registries Relating and organizing the core data
content. Level 1 Enterprise Data Warehouse Collecting and
integrating the core data content. Level 0 Fragmented Point
Solutions Inefficient, inconsistent versions of the truth.
Cumbersome internal and external reporting.
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Copyright POLL QUESTION #3 On a scale of 1-5, with 5 being very
advanced, how far along is your organization in using data to guide
your quality and cost initiatives?
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Copyright Organizational Structure Goals Provides steady state
domain oversight GUIDANCE TEAM Refines Work Group output and leads
implementation CLINICAL IMPLEMENTATION TEAM Provides clinical forum
to develop clinical content and analytics feedback WORK GROUP
Supports development of clinical content and analytics feedback
CONTENT AND ANALYTICS TEAM Provides overall governance and
prioritization of initiatives SENIOR EXECUTIVE LEADERSHIP TEAM
ENSURE THAT Workgroups are created with institutional priority
Appropriate leadership is engaged in prioritization Organizational
barriers between team members are removed
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Copyright Organizational Teams Women & Childrens Clinical
Program Guidance Team Pregnancy SAM Pregnancy MD Lead RN SME
Knowledge Manager Data Architect Application Administrator RN,
Clinical Ops Director Guidance Team MD lead (e.g., Pregnancy MD
Lead) Subject Matter Expert Data Capture Data Provisioning &
Visualization Data Analysis Normal Newborn SAM Normal Newborn MD
Lead RN SME Gynecology SAM Gynecology MD Lead RN SME Permanent
Teams Integrated Clinical and Technical members Supports Multiple
Care Process Families
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Copyright47 Workgroup Roles DATA CAPTURE Acquire key data elements
Assure data quality Integrate data capture into operational
workflow DATA ANALYSIS Interpret data Discover new information in
the data (data mining) Evaluate data quality DATA PROVISIONING Move
data from transactional systems into the EDW Build visualization
for use by clinicians Knowledge Managers Data Architects (Analysis)
Knowledge Managers Data Architects (infrastructure) Data Architects
(Visualization) Application Administrators (e.g., EMR
Administrators, Financial System Administrators) Subject Matter
Expert Data Capture Workflow Analysis Data Provisioning Data
Analysis
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Copyright Crystal Run EDW Teams EDW data acquisition Systems
programmers Database administrator Clinical SMEs EDW data
architecture and integration services BI director Data architects
Business development Project manager Clinical SMEs
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Copyright Catalyst Resource Deployment Installation Improvement
Independence Engagement Time Level of Engagement Technical Director
Engagement Executive Primary owner Secondary owner SOW# 1 SOW# 2
SOW# 3 SOW# 4 SOW# 5+ Support
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Copyright The Analytic Organizations Journey
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Copyright http://www.healthcatalyst.com/
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Copyright AHIP Institute 2014 June 11-13, 2014 in Seattle, WA AHIPs
Data Analytics Forum will provide valuable insights on how
stakeholders in the health care system utilize big data to enhance
care quality, reduce costs, make better business decisions, and
streamline operational processes. Please join Luke Skelly and
Health Catalyst at Booth #911
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Copyright 2014 Health Catalyst www.healthcatalyst.comProprietary
and Confidential Questions?
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Copyright Seed Questions What are some of the barriers youve run
across in acquiring claims from payers? What internal challenges do
you see payers or providers facing in developing a data driven
culture? How does Health Catalyst support a population health
management approach using claims data from non-acute care settings
(home health, skilled nursing facilities, etc.)
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Copyright Contact Information Dr. Greg Spencer, CMO Crystal Run
Healthcare www.crystalrunhealthcare.com Luke Skelley, VP Health
Catalyst [email protected] www.healthcatalyst.com
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Copyright Survey Questions On a scale of 1-5, with 5 being the
highest, how satisfied are you overall with the quality of this
webinar? What do you wish the presenter had spent less time on?
What do you the presenter had spent more time on? What topics would
you like to see in future webinars from Health Catalyst? On a scale
of 1-5, how interested are you in a demonstration of Health
Catalyst Solutions? What additional comments do you have?