Creating a Strategy for Value Driven

Transcription

1 Creating a Strategy for Value Driven Analytics Danyal Ibrahim, MD, MPH Chief Data and Analytics Officer Rob Beeman Executive Director of Decision Support Saint Francis Hospital and Medical Center Hartford, CT

2 Agenda 1. Current State of Analytics at SFH 2. Future State 3. What Do we Need to Get There 2

3 Current State of Analytics SFH 1. Do we have the Data? 2. Is it integrated? 3. Do we apply sound statistical analysis? 4. Do we present it in a simple and meaningful way? 5. Can we identify "where" and "who" towards answering why? 6. Is it timely? Quality and Safety Patient Outcomes Processes of Care Timeliness of Care Patient Experience Operations Utilization of Resources Efficiency Capacity and Access Cost and Revenue 3

4 Future State: t Integrated t Analytics Valid and Integrated Data Meaningful Metrics Statistically Sound Analysis Intuitive Visual Presentation Actionable Timely BETTER HEALTH BETTER CARE BETTER COST 4

5 What Do We Need to Get There? 1. Break Data "People Silos" 2. Build Strong Data Foundation o 3. Design and Adopt "Meaningful" Measurement Metrics 4. Harness Data Presentation Capabilities 5

6 What Do We Need to Get There? 1. Data "People Silos" Integration Leadership support for Integration/ Reorganization "Team-Sport" Quality/ Decision Support/ IT Invest in essential skills 6

7 What Are We Doing to Get There? 1. Break Data "People Silos" 2. Build Strong Data Foundation Data Acquisition from Various Sources Data Validation/ Standardization Engine Data Integration in Data Warehouse Data Availability (Registries, Data Marts, etc.) Solutions-based o Interactive e Visualizations at s 7

8 SELF DEVELOPED CONTENT Building Strong Data Foundation On demand tools provide unlimited self service capabilities Other User Developed Content CUSTOM POINT SOLUTIONS Custom developed, stakeholder centric content Growth KPI Dashboard Finance KPI Dashboard Safety KPI Dashboard Quality KPI Dashboard Service KPI Dashboard SUPERIOR VISUALS Powerful visualized content anytime, anywhere McKesson Analytics Explorer DATA AVAILABILITY Analytically enriched data exposed to a variety of off the shelf tools Data Mart(s) (Measure Views) DATA MODEL/ ANALYTIC ENGINE Empowers analysts to develop new measures as healthcare evolves AFI McKesson Performance Analytics DATA IN ETL for easy, source system agnostic integration Epic Chronicle Epic Clarity PeopleSoft Sunquest Other Sources

9 What Are We Doing to Get There? 1. Break Data "People Silos" 2. Build Strong Data Foundation 3. Design and Adopt Meaningful Measurement Metrics 4. Harness Data Presentation Capabilities Role-based Integrated Analytics (physicians) Unit-based Integrated Analytics (entities, SL, units, etc) Integrated KPIs Dashboards Pay-for-Performance Analytics (IQR, VBP, HRRP, HAC) PI-focused Analytics 9

10 Success Measures Initiative Measure Outcome Quality Utilization Efficiency Cost Medication Reconcilation Compliance Rate Top 50 High Utilizer Patients Discharge before Noon OR Supply Cost Variation in Surgical Patients Readmission due to ADE ED Visits and Admission Rates Bed Capacity Standardization

11 Benefits of Investment: Triple Aim Quality Analytics Pay For Performance Predicting Readmissions BETTER COST BETTER HEALTH BETTER CARE Physician Analytics Surgery Analytics Patient Flow Analytics Panorama

12 Physician Focused Analytics Very effective visualizations for Providers (OPPE) allowing for the organization to understand Drivers of Physician performance from both a Quality and Utilization/Cost perspective Combining data from Core Measures, Patient Satisfaction, and AHRQ with data from additional Quality and Cost Metrics to give our organization Comprehensive view into both quality and financial measures by physician Enables compliance with The Joint Commission OPPE process

13 Quality Analytics 360 o view across a multitude of quality domains integrated to help answer where and who towards figuring out the why

14 P4P Analytics Gain insight into how your organization is performing under Medicare Pay for Performance with the ability to: View Performance by Service Line, physician, Specialty, and Nursing Unit Model impacts of measure improvement on penalty/incentive $s See exactly where your performance opportunities exist for targeted improvement efforts

15 Financial Dashboard Consolidated views across McKesson Performance Analytics and General Ledger providing Multi-measure dashboard view Utilization/Volumes Income Statement GL Transaction Detail Service Line Profitability with ability 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

16 Patient Flow Gain powerful insight into the throughput of our organization by combining ADT data with data from McKesson Performance Analytics to Identify Peak busy times Bogged down units Potential bottlenecks in process Downstream impact on ED and ICU Areas of outstanding performance

17 Future State: Integrated Analytics Valid and dintegrated t ddata BETTER Meaningful Metrics Statistically Sound Analysis Intuitive Visual Presentation ti Actionable Timely BETTER HEALTH CARE BETTER COST 17

18 Key Challenges Engagement McKesson Physician Team Endurance 18

19 Ortho-Trauma Dashboard 19

20 Ortho-Trauma Dashboard - Statistics 20

21 Ortho-Trauma Dashboard Patient Focus 21

22 Cholecystectomy Statistics 22

23 Cholecystectomy Case Statistics 23

24 Cholecystectomy Patient Focus 24

25 Cholecystectomy y Patient Focus w/ahrq 25

26 Cholecystectomy y AHRQ PSI Rates 26

27 Surgery Analytics - Executive Summary 27

28 Surgery Analytics - Volume 28

29 Surgery Analytics On-Time-Starts 29

30 Surgery Analytics Delays 30

31 Surgery Analytics Turn Around Time 31

32 Admission Med Rec 32

33 Med Rec by Specialty & Physician 33

34 Med Rec Deep Dive 34

35 CHF Registry - Inpatients 35

36 CHF Registry - Outpatients 36

37 CHF Registry Patient Focus 37