Data Management & Analytics Lauren Bui, VP AGENDA HEALTHCARE DATA & ANALYTICS Overview of CHRISTUS Health Enterprise Data Strategy
Trends in Healthcare Enterprise Data & Healthcare Data
Real-world examples of Data Analytics Solutions A Mission-Driven Healing Ministry
45,000 Associates
15,000 Physicians st 6 600+ 1 Services and facilities States Charity Hospital in Texas • Started in 1866 350+ Sponsored by Sisters 4 Clinics of Charity of the Countries 60+ hospitals Incarnate Word in and long-term Houston and San care facilities Antonio • Sisters of the Holy Family of Nazareth 3 Healthcare
• Challenges • Technology & Trends • Goals & Use Cases Embracing Enterprise Data Platform
Challenges Goal Key Use Cases Lack of single source for key Single Version of the Truth Operational and Health performance indicators • Reliable and Consistent Data Results Outcomes Various Reports, Data Sources through: • Reduce Hospital Stays • Multi-EMR, Data Repositories • Standard Data Source Length of Stay (ALOS) • Standard Business Metrics • Lack of visibility across all ministries, • Improve Emergency facilities Definitions • Lack of Governance: • Standard Analytics Solutions Room Throughput • Business Metrics Definitions • MicroStrategy Enterprise License • Improve Health Quality as of 2015 Outcomes • Lack of Standard Enterprise BI • Scalable & Reliable Data Solution Platform • Enable Advanced Analytics through Predictive Models
Property of CHRISTUS Health Private and Confidential Modern Data Strategy is essential for Healthcare … • See a patient’s complete story of care
• Make the most informed decisions
• Enhance treatment and Patient outcomes MicroStrategy Solutions at CHRISTUS Health
Harm/Infection Budget/ Reduction Charity Underserved
Patient Care Clinical Financial Supply Costs
Hospital Revenue Quality Growth
Health Claims Length of Stay Operations Plan Submission
Staff Productivity Member Costs ED Throughput
Analytics to Provide Real Time Decision Support Strategic Focus Areas
8 Pre-Enterprise Era - 2017 Non-Governed BI
The Wild West
Multi-source data sources Showdown for the Non-Standard BI Single Version of the Truth
My No! data is Mine is right. right
Data BI Analyst Wrangler Teams
Data Pond Data Pond
9 Embracing Enterprise Data Maturity Model
Early Market Focused Business & Product Centralized Data Office/Transformative Creation Development
• Spreadsheet Reporting • Reports in Siloes • Enterprise Metrics, Cross functional Business Strategy • Single Business Function • Multiple Business Functions business reporting • Inconsistent Data Storage, Enterprise Data
Reporting Revenue CHASM
Data Disparity Data Data Disparity Time
Goal Descriptive Reporting Data in silos Enterprise Data Enterprise Data Culture
Early Phase Maturity Phase 10 Enterprise Data Platform Workflow Business Requirements
Deliver Reliable, Resilient, Reusable and Automated Governed Data Sources
1. Data 2. Data 3. Data 4. Automated 5. Testing/ 6. Software/ 7. Data Connectivity Architecture Management Integration Validation Hardware Visualization Data source to Conceptual Profiling/Catalog Automated Data Auditing/ Setup UI/UX Design Lake, EDW Design Legal/Security Testing Tracking Installation Standards Connectivity Logical Design Bus. Glossary Deployment Performance Activation Scalable Streaming, API, Physical Design Data Profiling Job Scheduling Scalability Monitoring Interactive Message Queue, ETL Master Data Job Recovery Capacity Embedded ETL, Batch, Data Quality Job Auditing Planning Predictions Replication Enterprise Data & Analytics Multi-disciplinary Partnership
Govern Data to deliver Governance driven by Reliable, Reusable, Clinical and Operational Excellence Automated Data in a & Common Definitions Scalable Platform Data Governance
Data Analytics Platform Solutions Partnership IT, Clinical & Bus Ops, Process Improvement
Process Manage the process for Management Common Analytics Tools, mutual success. Solutions for seamless user Understand the value based experience and capabilities chain to define, measure, and improve processes. 12 12 Data Governance Focus: MDM Program focused on Key business imperatives
Organization of Data Platforms Data Domains Business Analytics Imperatives
Clinical Quality Quality Enable easy and timely Metrics access to data KPIs EMR
Payor Patient Provider Clinical
Patient Intake
Encounter to Cash to Encounter Design and delegate Reports data responsibilities Financial Revenue Cycle
MDM Program
ERP/HR (INFOR) Employee/Associate Retire Hire to to Hire Standardize data Dashboards
Kronos/ADP Time / Attendance/Productivity
Schedule Schedule to Deploy to
Machine Business Process Business Implement the right technology
Supply Vendor/Supplies Learning
to Pay to Procure Procure Enterprise Data Analytics Architecture
Patient Clinical Reporting Mobile App App
Information Portal
Sources Reports/Dashboards
Cloud Data Interoperability
Data Platform Data Data Analytics Workbench Management Analysis Self Service Analytics EMR Open API Data Bus Laboratory Radiology Data Analysis Citizen Data Science ETL/Master Encounter Data/DQ Data Science Transaction rd Data Warehouse 3 Party Database Data Statistics Advanced Analytics Meta Data Catalogue Patient Provider Satisfaction
Machine Learning IOT Data Lake Glossary/ Discovery/ Ontology Data Mining Distribution API/Extracts Location Monitoring
Data Governance/Policies | Security | Process Improvement
CHRISTUS Network (Private Virtual Cloud) 14 Enterprise System Data and Analytics Platform Use Cases
HR/ Ambulatory Productivity
Health Plans Operations Productivity Planning
Enterprise System Data Strategy Revenue Clinical Quality Operations/ & Analytics Care Mgt
Patient Satisfaction
Pop Health Revenue Cycle/ Finance Big Data in Healthcare BIG DATA Use Cases
Gather large Build Models to historical data Predict Length sets of Stay & Decomposition Enterprise Executive Dashboards
Design for Actionable Insights
• Goal: Focus on Performance Improvement instead of Identification of Poor Performance • Visual graphs with Enterprise wide view across CHRISTUS ministries • Drill down in graphical view • Side by Side view for comparison of Ministry Performance • Focus on key indicator thresholds for more actionable insights • Predictive Analytics using Hadoop and Microstrategy
17 Journey to Big Data Lake Business Drivers Governance & Stewardship Standard set of Definitions, rules, Mastered Data Business Data MDM Definition Quality BI(Business Intelligence) Standard Healthcare Analytic Reports & Dashboards Self-service reports Dashboards Report Statistics, Trends Data Warehouse Standard Healthcare Data Models, Enterprise Data Warehouse (EDW), Data Reporting
EDW BI
Data Lake & Data Science Standard Centralized Storage for Landing, Staging, Mining, Archive, Artificial Intelligence (AI), Machine Learning (ML) AI ML
Big Data BI Lake EDW BI Predictive Analytics using Hadoop
Provide proactive alerts to improve Operational & Health Outcomes using historical data & benchmarks • LOS Prediction Models: Build then Train • LOS Prediction by Facility for current month and next month • LOS Prediction per Patient by final DRG • LOS Prediction per Patient using Clinical and Demographic attributes • Incorporate Market Data for competitor comparison • Capture Benchmark by Market for Performance Measurement
Data Quality
• Source Data Quality Scoring • Data Score based on Data Completeness and Accuracy 19 Enterprise Operational Daily Dashboard– History & Use
Operational Dashboard provides: -Consistent monitoring of key operations -Financial performance that lead to data- driven decision making for optimal operations.
KPIs: Summary and Report: -Discharges -Length of Stay -Patient Revenue Census: -Patient volume -Staffing needs
Goals are set following annual/monthly budget benchmarks 20 Excel Report (Pre-MicroStrategy)
Reduced from +steps to single drill down view
21 MicroStrategy Interactive Daily Indicators Dashboard
Indicator Selection
Daily/Monthly/Grid View
Enterprise View with Ministry Comparison single drill down view
Interactive
Ministry/Facility View
22 22 Daily Indicators Facility/Patient View
Facility View
Predictive ALOS
Patient View
23 Hospital Quality Dashboard
Quality Dashboard provides: -Consistent monitoring of key hospital quality metrics and KPIs to monitor and measure
KPIs: Summary and Report: -Readmissions -Mortality -Patient Satisfaction -Infections (CAUTI, C-Diff) -Accidents (Falls)
Goals are set following annual/monthly budget benchmarks 24 Enterprise ED Dashboard
Providing Key Indicators: • Door to Door – Length of Stay ~ 2 to 4 hours • Left Without Being Seen (LWOBS) • Labor Cost Per ED Visit • Census, Lab, Rad, Hold IntakeIntake DispositionDisposition DischargeDischarge • Triage • Admit (90) • Admit order • Provider • Discharge (180) • Bed Assignment • Orders • Departure
15 minutes 90 or 180 minutes 90 minutes
25 Pre-Microstrategy
Manual reporting up to ~4 hours to produce daily ; multiple keystrokes,
26 Enterprise ED Dashboard v1.0 Executive & Detail View
Top Executive KPIs Detailed View with 30 day Trend
6 Month Trend
All Regions
Summary and Drill Down by Region By Severity/By Hour
Patient Drill Down
Drill Down to Facility
27 ED Hold and Census for Staff Planning
Census by Hour, Arrivals & Departures by Patient Hold - 30 Day Trend Hour, by Severity
Patient Hold - 30 Day Trend by Nursing Unit
28 ED Laboratory & Radiology Throughput
Lab & Radiology Metrics, Hourly Details
29 Next Steps: Driving the Partnership For Enterprise Data & Analytics
Stakeholder Awareness Understanding Adoption Commitment Delivery Value of the change Impact of the change Ensure successful change Ensure the whole Drive outcome Groups enterprise benefits from change by taking action
Executive Leadership
Executive Boards
Ministry Executives
Ministry Directors/Managers
Ministry Analyst
Leadership Action & Partnership opportunities
30 Target state for stakeholder group on the commitment 30 Contact Information
Lauren Bui, MBA
VP, Data Management and Analytics • 919 Hidden Ridge | Irving | TX 75038 • [email protected] • Tel: 469-282-2758 | Cell: 817-313-8737
31 Delivering Enterprise Data and Analytics 31