Sponsored By: Healthcare Analytics Design: Smart, Creative, Forward-Thinking Wednesday February 22, 2017 (12:00 1:00 pm Pacific / 1:00 2:00 pm Mountain / 2:00 3:00 p.m. Central / 3:00 4:00 pm Eastern) HFMA s Patient Financial Communications Training Program Danyal Ibrahim, MD, MPH Chief Data & Analytics Officer
Agenda Analytics Journey at Saint Francis Hospital Success Stories Lessons Learned and Future Direction 2
Why Are We Doing This? Quality Analytics Pay For Performance BETTER COST BETTER CARE Physician Analytics Surgery Analytics Patient Flow Analytics Predicting Readmissions BETTER HEALTH Panorama 3
What Truly Matters: The Patient BETTER CARE BETTER HEALTH BETTER COST 4
Enterprise Analytics: Conceptual Framework Analytics Needs Direct Patient Care Supporting Patient Care Acute Care Post Acute Ambulatory Pop Health Revenue ERP Unit and Network Business Develop Real Time Near Real Time Big Picture Big Data Local Central 5
Data and Analytics Journey Data Strategy: Transform Health Data to Support Better Care, Better Health at Affordable Cost for a Lifetime Assessment Do we have the data? Is data integrated? Do we apply sound analytical methods Do we present it in a simple, intuitive and timely manner Can we identify what, who, where, towards answering why Action Steps Break the silos Build the team(s) Develop data platform Meaningful measurement metrics Harness data presentation capabilities Valid and integrated analytics Meaningful metrics Statistically sound analysis Intuitive visual presentations Actionable Timely Results 6
Ask the Right Questions 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 7
Data Strategy Components 1. Break data people silos 2. Build the team (Redesign) 3. Develop strong data foundation 4. Design and adopt meaningful measurement metrics 5. Harness data presentation capabilities 8
Data Strategy Components 1. Break the silos 2. Build the team Data as strategic asset Leadership support Data Governance Team sport Invest in essential skills 9
Data Governance 10
Team Redesign: Functional Unit 11
Essential Skills and Capabilities Development Capabilities Data Extraction Data Warehousing Rules Engine(s) Data Presentation Automation Security Analytics Capabilities BI Developers Interactive Data Visualizations Reporting Self-service Analyst and Liaison Skills Advanced Analytics Statistical Modeling Predictive Machine Learning Outcomes and Processes Measurement Risk Adjustment Benchmarking 12
Data Strategy Components 1. Break data people silos 2. Build the team 3. Develop strong data foundation Data acquisition/aggregation from various sources Data validation/standardization engine Data integration in data warehouse Solutions-based interactive visualizations 13
Data Platform 14
Data Strategy Components 1. Break data people silos 2. Build the team 3. Develop strong data foundation 4. Design and adopt meaningful measure metrics 5. Harness data presentation capabilities Role-based interactive analytics Unit-based integrated analytics Integrated KPIs dashboards Pay-for-Performance analytics PI-focused analytics 15
Meaningful Analytics Aid Decision Making by Care Teams 16
Successes along the Journey Improvement Initiatives Physicians Analytics Hospitalist Gen Surgery Quality and Safety Analytics Sepsis Readmissions Efficiency Analytics LOS Patient Flow Cost Awareness Dashboards Features Delivery Integration Function Oriented Unit-Based Service Lines Executive 17
Physicians Focused Analytics 18
Physicians Focused Analytics Hospitalist Dashboard 19
Physicians Focused Analytics Hospitalist Dashboard 20
Physicians Focused Analytics General Surgery Dashboard 21
Physicians Focused Analytics General Surgery Dashboard 22
Quality and Safety Focused Analytics 23
Quality Focused Analytics Readmissions Dashboard 24
Sepsis: The Challenge High volume ~ 1,200 patients annually High mortality rate ~ 22% High readmission rate ~ 23% High LOS ~ 11 days High cost ~ $15,000 per encounter 25
Sepsis: The Solution Promote evidence based excellent patient care Patient Care Areas Reduce care variation Reduce mortality Informatics Lab and Pharmacy Reduce LOS Reduce cost Analytics ED, ICU and ID New Core Measure SEP-1 effective October 2015 Education 26
Sepsis: Real-time Surveillance A nurse acknowledging the BPA should contact the physician as soon as possible to evaluate the patient for Sepsis. 27
Sepsis: Real-time Surveillance If a patient meets SIRS criteria, AND has a suspected source of infection, the physician should complete the sepsis screening form to document the suspected source. Positive SIRS plus a suspected source of infection = Sepsis 28
Sepsis: Analytics in the Workflow 29
Sepsis: Actionable Analytics 30
Sepsis: Near Real-time Scorecard 31
Sepsis: Big Picture Analytics 32
Sepsis: The Results 67 Saved Lives 33
Efficiency Focused Analytics 34
Patient Flow: The Challenge High excess days > 20,000 annually High boarding time > 4 hours Inefficient discharges < 15% before noon Unnecessary stay in hospital is associated with Poor patient outcome Patient experience 35
Patient Flow: The Solution Hospital-wide multi-disciplinary rounds focused on alleviating barriers to timely patient discharge Teamwork practice unit model with localized physician hospitalists Monitoring progress on length is stay, boarding in the ED and timely discharges 36
Efficiency Focused Analytics LOS and Patient Flow Dashboard 37
Efficiency Focused Analytics Patient Flow Dashboard 38
Patient Flow: The Results LOS ED Boarding Time (Hr) Discharges before noon FY 2015 4.8 3.8 15% FY 2016 4.2 2.5 20% Degree of Success 12.5% 34% 33% 39
Cost Awareness Focused Analytics 40
Cost Awareness Analytics Drugs Utilization Dashboards 41
Cost Awareness Analytics Variations in Care (Kidney Infection) 42
Cost Awareness Analytics Variations in Care (Kidney Infection) 43
Cost Awareness Analytics Variations in Care (Appendectomies) 44
Cost Awareness Analytics Variations in Care (Appendectomies) 45
Key Lessons along the Journey Alignment with organizational vision and strategy Culture, legacy and turf Engagement Leadership Staff Partners Measuring success by actions and patient-centered outcomes Quick wins and low hanging fruits Team skills 46
Enterprise Analytics: Future Direction Analytics Needs Direct Patient Care Supporting Patient Care Acute Care Post Acute Ambulatory Pop Health Revenue ERP Unit and Network Business Develop Real Time Near Real Time Big Picture Big Data Local Central 47
Future Direction 48
What Truly Matters: The Patient BETTER CARE BETTER HEALTH BETTER COST 49
Questions 50
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