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Seattle code camp 2016 - Role of Data Science in Healthcare
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Transcript of Seattle code camp 2016 - Role of Data Science in Healthcare
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DATA SCIENCE IN HEALTHCARE Seattle Code Camp 2016
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ABOUT THE SPEAKERGaurav Garg “GG” is a business savvy IT leader playing the role of trusted advisor and product development manager. • Leads a Healthcare consulting practice for a national IT
consulting firm (www.calance.com).• Participated in product strategy team - identified High Value
Questions resulting in 150+ new products and features in $16B GE Healthcare product portfolio.
• Played the role of IT Director at UCLA Health System, acting as an interface between the Clinical Directors and the IT Department.
• Led the delivery of 8 products and 70+ Enterprise Data Warehouse projects in the Healthcare industry.
• P&L responsibility managing application development up to $45MM.
• Presented and won Phase I, Phase II grants from the NIH under SBIR funding to build a product in partnership with UCLA Health System.
• As a thought leader, GG publishes white papers, appears in speaking engagements and guides healthcare startups at Cambia Grove.
Gaurav Garg (GG)
https://www.linkedin.com/in/gauravkinatus @gaurav_kinatus
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PAST PROJECTS
USCUNIVERSITYHOSPITAL
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HEALTHCARE BASICS Technologies & Flow of Information
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WHY IS HEALTHCARE DATA MESSY?
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Integrated Clinical
Information System
Financial System
Lab AnatomicPathology(6 vendors)
EMPI(5 vendors)
Dictation(4 vendors)
Interface Engines
(7 vendors)
AmbulatorySpecialty
(4 vendors)
Hospice(5 vendors)
AdvancedVisualization(5 vendors)
Budgeting(3 vendors)
Labor andDelivery
(7 vendors)
Time and Attendance(3 vendors)
Ambulatory EMR (Small
practice)(18 vendors)
Anesthesia(1 vendor)
PACS(31 vendors)
Patient Monitoring
System(1 vendor)
Laboratory Blood Bank(9 vendors)
CT Ultrasound
Other medicalDevices
Ventilators Fetal monitors
CoreMeasures
Rapid Response
PHR integration
Ambulatory Inpatient
Throughput Tracking
Infection Tracking
Quality Scorecard
Care Quality
Analysis
Charge & Payment Analysis
IHI Triggers
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BI & DATA WAREHOUSE EXAMPLES
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Clinical and Syndrome
Surveillance
MEWS; HAC Risk Scoring (DVT, DU, CLBSI, CA-UTI, CTI, PU, Wound); Sepsis; school absenteeism; bio-surveillance
1 Patient 1 Chart
Optimizing Resource
Utilization
Imaging Tracking; Room Utilization; Capital
Investment Optimization; Payer Compliance; Leakage;
LOS; Re-Admissions Manager (RAM)
Improving Physician
Satisfaction
Protocol Compliance
Tracking
Pharmacy Protocol, Core Measures (AMI, HF, PN, SCIP, MU), Nurse Admission Tracking
Improving Patient
Satisfaction
Data explosion from EMR adaption has created lots of data. Calance has implemented over data warehouse projects in over 70 hospitals and HIEs.• EMPI Integration – we have experience integrating
with popular EMPI solutions and troubleshooting performance issues.
• Enterprise Interface Engine – implementation, upgrade, migrate, configure interfaces. Caradigm Intelligence Platform (aka Amalga), Orion Rhapsody, eGate, Intersystem Ensemble, BizTalk, SSIS.
• Data Warehouse/Data Lake – we have implemented and managed some of the largest data warehouse/data lake infrastructure in the healthcare industry (largest @ 3 petabyte data).
• Scorecard/Reports – data visualization for scorecards, dashboards and reports on SharePoint, Roambi, tableau.
• Predictive Analytics – build risk stratification and other predictive analytics algorithms using hadoop ecosystem and RStudio.
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DATA PIPELINEEMPI Staging Enterprise
Service BusData
Warehouse
BI Analytics,Dashboards,Visualization& Report
Coordination
Browser
Mobile DeviceRedshift, NoSQL,
SQL Server
Authorization and DevOpsData GovernanceProducts and Logos acknowledged to respective owners. Logos used to for illustration purpose.
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ESB VS. INTERFACE ENGINE
Courtesy of
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ESB VS. INTERFACE ENGINE
Courtesy of
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FINANCIAL FLOW
https://www.youtube.com/watch?v=RJKIjxl1KeE
Who is paying for your healthcare?
Watch the video on the following slide
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CASE STUDIES Retrospective & Predictive
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PREDICTIVE ANALYTICS EXAMPLE –AUTOBED
https://www.youtube.com/watch?v=eI1l_s4zo_s
Predictive Analytics Example –AutoBed
Watch the video on the following Slide
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CHANGING BUSINESS MODEL
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Know Your Patients Clinical ProtocolsBusiness Intelligence & Predictive Analytics
Cohort Identification Standardized Care PathPatient Demographics
Lifestyle
Medical History
Risk Stratification
Adverse Event Prediction
Family History
Proactive Appointments
Treatment Effectiveness
Patient Generated Data
Variance Management
Financial Review
Patterns
Treatment Adjustment
Actionable Intelligence
POPULATION HEALTH EXPLAINED
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PROTOCOL COMPLIANCE
Clinical desktop integration using “Knowledge Hub”
Protocol Definition and Matching
Clinician view, compliance officer view, reporting moduleLanguage & Terminologies
Data Aggregation
TouchPoint360
Data existing in hospital systems
Calance Protocol Compliance Framework
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IDEAS High Value Questions
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AMBULATORY• Is my practice setup to be
successful as a Pay-for-Performance contract or should I stay as pay per service?
• Should I go an form an Accountable Care Organization (ACO) with 75 other physicians or join an Integrated Delivery Network (IDN)?
• What are my compliance requirements with different contracts?
• How do I rapidly understand the business implications of (program de jour) for my specific practice so I can rapidly make informed decisions to participate (or not)?
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HIGH ACUITY CARE• What is the probability of patient
developing an infection?• Do I have everything for tomorrow?• How are we doing on infection
management (SEPSIS)? Is there anything we can do to use the devices to proactive alerts?
• What is the correlation between cost index and length of stay?
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DIGITAL PATHOLOGY• Find similar cases• What other information do you need
for diagnosis? Additional images, molecular image, additional test results, additional symptoms
• How to close the loop between Radiologist and Pathologist to reduce discordance?
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RADIOLOGY• Automatically detect abnormalities
in the image• Which Radiologist results in
good/bad follow-up actions?• What are my compliance
requirements with different contracts?
• Is this the right procedure, modality and protocol?
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REVENUE CYCLE• Recommend an immediate step to
avoid hospitalization. e.g. cab for picking up Rx
• Who is the best provider to treat this patient?
• What is the best site for this patient?
• Coding accuracy dashboard