Creating a Strategy for Value Driven Analytics Analytics Danyal Ibrahim, MD, MPH Chief Data and Analytics Officer Chief Data and Analytics Officer Rob Beeman Executive Director of Decision Support Saint Francis Hospital and Medical Center Hartford, CT
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Creating a Strategy for Value Driven AnalyticsAnalytics
Danyal Ibrahim, MD, MPHChief Data and Analytics OfficerChief Data and Analytics Officer
Rob BeemanExecutive Director of Decision Support
Saint Francis Hospital and Medical CenterHartford, CT
Agenda
1. Current State of Analytics at SFHy2. Future State3 What Do we Need to Get There3. What Do we Need to Get There
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Current State of Analytics SFH
Quality and Safety
Current State of Analytics SFH
1. Do we have the Data? Patient Outcomes
Processes of Care
Ti li f C
2. Is it integrated?
3. Do we apply sound statistical Timeliness of Care
Patient Experience
Operations
pp yanalysis?
4. Do we present it in a “simple” Operations Utilization of Resources
Efficiency
and meaningful way?
5. Can we identify "where" and "who" towards answering why?
Capacity and Access
Cost and Revenue
who towards answering why?
6. Is it timely?
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F t St t I t t d A l tiFuture State: Integrated Analytics
BETTER CARE
Valid and Integrated Data
Meaningful Metrics
BETTER
Statistically Sound Analysis
Intuitive Visual BETTER
COSTBETTER HEALTH
Presentation
Actionable
Timely
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What Do We Need to Get There?
1. Break Data "People Silos"2. Build Strong Data Foundationu d St o g ata ou dat o3. Design and Adopt "Meaningful" Measurement
MetricsMetrics 4. Harness Data Presentation Capabilities
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h d G h ?What Do We Need to Get There?
1. Data "People Silos" Integration Leadership support for Integration/ ReorganizationLeadership support for Integration/ Reorganization
"Team-Sport" Quality/ Decision Support/ IT
Invest in essential skills Invest in essential skills
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h A i G h ?What Are We Doing to Get There?
1 Break Data "People Silos"1. Break Data People Silos
2. Build Strong Data FoundationData Acquisition from Various Sources Data Acquisition from Various Sources
Data Validation/ Standardization Engine
Data Integration in Data Warehouse Data Integration in Data Warehouse
Data Availability (Registries, Data Marts, etc.)
Solutions-based Interactive VisualizationsSo ut o s based te act e sua at o s
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Building Strong Data FoundationBuilding Strong Data FoundationOn demand tools provide unlimited self‐service capabilities
Other User Developed ContentOther User Developed ContentSELF‐DEVELOPEDCONTENT
Utilization Top 50 High Utilizer PatientsED Visits and
Admission RatesRates
Efficiency Discharge before Noon Bed Capacity
OR S l C t V i ti iCost OR Supply Cost Variation in Surgical Patients Standardization
Benefits of Investment: Triple AimBenefits of Investment: Triple AimQuality Analytics
Pay For PerformancePhysician Analytics
Surgery AnalyticsBETTER
COST Surgery Analytics
Patient Flow Analytics
COST BETTER CARE
Predicting Readmissions
Patient Flow Analytics
PanoramaBETTER HEALTH
Physician Focused AnalyticsAnalyticsVery effective visualizations for Providers (OPPE) allowing for the organization to understand Drivers of Physician performance
from both a Quality and Utilization/Cost perspectiveUtilization/Cost perspective
Combining data from Core Measures, Patient Satisfaction,Measures, Patient Satisfaction, and AHRQ with data from additional Quality and Cost Metrics to give our organizationg g Comprehensive view into both
quality and financial measures by physician
Enables compliance with The Joint Enables compliance with The Joint Commission OPPE process
Quality Analytics
360o view across a multitude of quality domains integrated to help answer where and who towards figuring out the whywhy
P4P Analytics
Gain insight into how your organization is performingorganization is performing under Medicare Pay for Performance with the ability tto: View Performance by Service
Line, physician, Specialty, and Nursing UnitNursing Unit
Model impacts of measure improvement on penalty/incentive $spenalty/incentive $s
See exactly where your performance opportunities exist for targeted improvement g pefforts
Financial Dashboard
Consolidated views across McKesson Performance Analytics and General LedgerAnalytics and General Ledger providing Multi-measure dashboard view Utilization/Volumes Income Statement GL Transaction Detail Service Line Profitability with
ability to view by Payorability to view by Payor, Physician and Market Location (using Geospatial Analytics)
Ability to perform high level modeling by Service Line using modifications to Volume, Payment and Cost
Patient Flow
Gain powerful insight into the throughput of our organization by combining ADT data with data from McKesson PerformanceMcKesson Performance Analytics to Identify Peak busy times Bogged down unitsBogged down units Potential bottlenecks in