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Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
HEALTH ANALYTICSKRISA TAILOR
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
EMPOWERED CONSUMERS:Proliferation of Digital Data
EXPLOSION OF DATA:Big Data – EHR, ‘Omics, Claims, Devices
DATA IS SHAPING THE LANDSCAPE OF HEALTHCARE
• Patient Consumer• Experience Economy• Personalization • How do we engage
patients and help them be active participants in their care?
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PROVIDER IMPERATIVES QUALITY, SAFETY, PATIENT EXPERIENCE
• Readmission Reduction• Disease prevention• Population Risk • Optimization of Care
• True cost of care• Identify Care Variation & Waste• Profitability Analysis
Proactively Manage Quality & Outcomes
Engage Patients AsUnique Individuals
Manage Financial Risks & Incentives
Improve Efficiencyof Care Delivery
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VALUE-BASED CARE CLINICAL EPISODES
Fee-for-Service Value-Based Payment
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THE GOAL IS THE SAME TRIPLE AIM - INSTITUTE FOR HEALTHCARE IMPROVEMENT
Source: Massachusetts eHealth Institute
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INSPIRATION FROM OTHER INDUSTRIES
“The future of banking is about connectionswith your customers, engaging them when and where they needbanking to solve a problem or provide a service. Banks won’t be ableto influence people with clever ad campaigns, better rates, or talk ofbranch networks. The only differentiation will be how you anticipatetheir needs and serve them in their day-to-day life, wherever theymay be.”
“The shopper drives the business now and retailers have torespond appropriately or the shopper will go elsewhere.
Customers can easily bounce to another vendor—price and availability are 100 percent transparent on the web. This free movement leaves retailers with one primary way
to differentiate themselves: through the customerexperience.”
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TRENDS IMPACTING HEALTH ANALYTICS
Machine Learning – recommendation engines to predict and suggest the best options for individuals
Internet of Things – connectivity and interoperability, mobile/wearable/sensor data, data streaming
Personal Health Analytics – personalized information for each individual to create behavior change
Population Health – peeling back layers to understand microsegments
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Support Index
ActivationLevel
Dx Conditions
Klout Score(Social Network
Influence)
Rx Prescriptions
Segment ID
Net Promoter Score(Promoter, Passive, or
Detractor?)
SocialDemographics
360-DEGREE PATIENT VIEW
INTEGRATED DATA STORE
ACTION AND RULES
PREDICTIVE ANALYTICS
PATIENT PROFILE
RISK MODULES
PATIENT PROFILE
Patient Experience Dimensions
Descriptive Dimensions
PsychosocialDimensions
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PatientsAnalysts
Clinicians
Corporate communications
HEALTH ANALYTICS FRAMEWORKS
OU
RC
E D
AT
A
Ambulatory
Pharmacy
Economic
Social
Hospitals
Cost
Contact center
INTEGRATED DATA STORE
ACTION AND RULES
PREDICTIVE ANALYTICS
PATIENT PROFILE
RISK MODULES
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Finding treasures in unstructured datalike social media or survey toolsthat could uncover insightsabout consumer sentiment
Mine databases for patterns and trends
Leveraging historical data to drive better insight into decision-makingfor the future
Analyze massiveamounts of data inorder to accurately
identify areas likely toproduce the best results?
FORECASTING
DATA MINING
TEXT ANALYTICS
OPTIMIZATION
STATISTICS
ADVANCED ANALYTICS
INFORMATIONMANAGEMENT
What will diabetic care cost next year?
What are patterns in the spread of disease across communities?
What are the key feedback from patients on service and care?
Which patients are at highest risk?
What is the best path of care for this patient?
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Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
HOW DO WE GET STARTED?
The journey towards a strategic analytic culture starts with a small, highly visible step.
• Is it a business problem that resonates with the organization?
• Can it be easily defined?
• Is it relatively small in scope, but relatively large in impact?
• Are the objectives easily measurable?
• Does the required data exist?
• Do the skill sets required to derive results exist?
• Is the process repeatable, or is there at least a path to repeatability?
• Is there an executive who would be willing to provide support?
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BUSINESS
CLINICAL• Reducing No-show Patients • Understanding Patient Feedback for
Process and Care Improvement• Inventory / Resource and Capacity
Management (LoS, referral patterns)
• Tracking & Predicting Disease Outbreak
• Cohort Analysis and Clinical Pathways
• Risk Stratification • Quality of Care • Personalized Medicine
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A deeper look at the data to see the cost of Chronic Care in the state. How much does chronic care cost my state?
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Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
Thank You!Contact me: [email protected]