Bending the Outcome Curve in the Fight Against Sepsis with Real-Time & Predictive Clinical Intelligence

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1 Bending the Outcome Curve in the Fight Against Sepsis with Real-Time & Predictive Clinical Intelligence Adam Klass, Chief Technology Officer, VigiLanz Corporation Bart Abban, Ph.D, Chief Data Scientist, VigiLanz Corporation

2 About VigiLanz Real-Time Surveillance Software as a Service (SaaS) Founded 2001 Nearly 400 hospitals Our Passion Delivering real-time information and insights that healthcare executives and clinicians need to improve patient care and operational performance. Offices in Minneapolis & Chicago Gartner Cool Vendor 2015

3 Enterprise Intelligence Resource (EIR) Generates actionable intelligence Performs asynchronous surveillance Informs clinicians real-time Manages all data across the continuum of care Enables collaboration and interoperability Continuously learns by the integration of clinical and business intelligence data Integrates innovative predictive models and analysis

4 Intelligence Impacts Key Issues Care Public Regulatory Intelligence Platform Population Operations Research Financial

5 Intelligence Impacts Key Issues Public Population Research Care Intelligence Platform Financial Regulatory Operations Care Pharmacy Antimicrobial Stewardship Sepsis Surveillance DVT Prevention Glycemic Control Fall Prevention Zynx Guidance Medication Reconciliation Infection Control

6 Intelligence Impacts Key Issues Care Public Regulatory Regulatory Population Intelligence Platform Operations Direct NHSN Quality Reporting Antimicrobial Utilization Reporting Safety/Risk Research Financial

7 Intelligence Impacts Key Issues Care Public Regulatory Operations Population Intelligence Platform Operations Safety/Risk Readmissions Prevention Medication Cost Core Measure Surveillance Quality Indicator Surveillance Research Financial

8 Intelligence Impacts Key Issues Care Public Regulatory Research Intelligence Platform Data Aggregation Research Initiative Rule Set Population Operations Research Financial

9 Intelligence Impacts Key Issues Care Public Regulatory Population Population Intelligence Platform Operations Risk Stratification Chronic Disease Episodic Care Optimization Preventative Research Financial

10 Intelligence Impacts Key Issues Care Public Regulatory Public Intelligence Platform Infectious Disease DB Syndromic Surveillance Population Operations Research Financial

11 Key Data Issues Facing Leaders Managing the data deluge Large quantities of data are only as meaningful as the insights they yield Efficient data analytics are linked to significantly reduced costs, increased business intelligence and improved clinical outcomes 51% A Stoltenberg Consulting poll found healthcare IT leaders believe the most significant barrier to hospital data analytics is not knowing what data to collect or how much of it. Becker s CIO Review, 2016 Embracing the care continuum As reimbursement is linked to value, clinical outcomes data are more entwined with the revenue cycle Anywhere intelligence to make informed decisions CDW 2016 Becker s CIO Review, 2016

12 Sepsis Prediction

13 Temporalytics Standard Clinical Predictive Models Methodology Temporalytics Predictive Models Patient Data Retrospective BMP Good Medical Practice Patient Data Retrospective & Real-Time Time-Based Meta Data Customization BMP Good Medical Practice Analytics Machine Learning Platform Smart Rules Stratification & Predictive Alerts Prescriptive Insights, Analytics & Risk Scoring Complete Integration into Workflow Powerful proprietary metadata drives cause and effect approach Customized to patient population (not one size fits all) Universal methodology can be used on any clinical, financial or operational issue Machine learning platform enables consistent tuning and optimization

14 Temporalytics Predictive Models: Sepsis Goal: Predict before onset of Severe Sepsis Admission Severe Sepsis Dx (Infx + Organ Dysf) ICU admit ICU discharge Discharged/ Expired T 0 = 0 Age, BMI, History, T sepsis = Max(T infx, T organ dysfn ) Comorbidities Vitals & Labs General Models

15 SIRS Criteria vs. VI Prediction Patient A A Hour 1 B B B C C C C SIRS Models SIR2 (-) SIRS2 (+) Total Severe Sepsis (-) 1, ,684 Severe Sepsis (+) VigiLanz Temporalytics Hour 4 Hour 8 Model (-) Model (+) Total Severe Sepsis (-) 2, ,684 Severe Sepsis (+) PPV PPV 15% 34%

16 Cost Savings and Volume Focus Total cases requiring follow-up VigiLanz model 415 SIRS2 criteria 869 Caseload reduction over 50%

17 Sepsis Predictive Intelligence Integration VigiLanz Intelligence Platform Antimicrobial Stewardship Core BI Portal Infection Control Learning Clinical Intelligence Portal Pharmacy Discovery Collaborate Customize Temporalytics Predictive Analytics Care Train/Test Advisory Services Sepsis Model Results Transparency See it in Real-Time Sepsis Risk Scores are Displayed and/or sent through alerts for Clinicians Sepsis Risk Score

18 Sepsis Risk Display in Workflow Integration

19 Predictive Analytics Possibilities Clinical quality and financial value, driving actionable intelligence with both retrospective and real-time clinical meta data. Lag Time Analysis Vital Sign Lag Time Clinical Issue Hot Spots Predictive Model Performance Clinical Process Performance Patient Safety Response Time Medication Safety

20 Endless Possibilities Readmissions Surgery Site Infections (SSI) Risk Scoring Glycemic Control Epidemic Outbreaks Preventative Care Deep Vein Thrombosis (DVT) CLABSI Sepsis CAUTI Chronic Disease COPD Diabetes CHF Cdiff Adverse Drug Effects (ADE) Pressure Ulcers Stroke Hospital Acquired Infections (HAI) Morbidity Risk Pneumonia MRSA

21 Thank you for joining us! and