cal index a new model for collaboration march 1, …...cal index – a new model for collaboration...
TRANSCRIPT
Cal INDEX – A New Model for Collaboration
March 1, 2016
David Watson
CEO, Cal INDEX
Dave Bennett
EVP Product and Strategy, Orion Health
Conflict of Interest
David Watson
Has no real or apparent conflicts of interest to report.
Dave Bennett
Has no real or apparent conflicts of interest to report.
Agenda
1. CONTEXT – The long journey of health information exchange
2. DRIVERS & RISKS – Emerging requirements and today’s challenges to
success
3. OPPORTUNITY – The Cal INDEX approach
4. TECHNOLOGY – A future proof platform
5. QUESTIONS
Learning Objectives
• Recognize how large scale collaborative arrangements among multiple
healthcare stakeholders – payers, providers, public health, and more – can
improve outcomes, reduce waste, and engage patients and members
• Assess how a new model of cooperation is enabling competitors to
overcome the IT integration costs and data acquisition challenges
associated with population health management
• Analyze outcomes from regional, cross-entity collaborative models of care
• Identify how new health information exchange technologies can overcome
integration and aggregation issues to create real-time predictive analytics
to proactively manage the care of large populations
Satisfaction - Patient data available at clinical encounter (vs patient as courier)
Treatment – Additional patient data available at clinical encounter (vs fragment)
Electronic Secure Data – HIPAA compliant storage and retrieval of PHI (vs paper copies)
Patient Engagement – Incremental data allows payers and providers to engage in more effective/targeted engagement (vs mass mailing)
Savings – Variation in data helps identify and eliminate waste within clinical and administrative workflows
http://www.himss.org/ValueSuite
STEPS – Where is the value?
CONTEXT – The HIE Journey
1. Late 90’s – CHINs (aka, Version 1.0)
Other than a lack of computable clinical data, it was a great idea who’s time had not come…
2. Early/mid 00’s – RHIOs (aka, Version 2.0)
Still a lack of computable data
No clear business proposition – “sharing is good”
3. Late 00/ early 10’s – HIE (aka, Version 3.0)
Business proposition remained weak
Provider focus; excluded payers
Competition for attention (EMR, MU, etc.)
CONTEXT (continued)
4. Now – Clinical Integration Network, or CIN (aka, Version 4.0)
Widely available computable data from payers and providers
Business drivers for sharing data have emerged in ACO and other risk sharing models
Payers and providers recognize the need to share data to achieve Triple Aim-related objectives
DRIVERS & RISKS
DRIVERS
• Care coordination
• Risk models
• Patient engagement
• Financial incentives
RISKS
• Trust (provider/payer)
• Clear financial benefits
• Skepticism
• EMR Vendors
• Regulation and liability – privacy and data
OPPORTUNITY – Cal INDEX
• Business model
– Independent
– Utility
– Funding
• Focus
– Payers and providers participate
– Value of aggregate data
– Data management (acquire/curate/manage)
– Simplify data access
• Value
– Designed to meet specific business requirements of value based risk models
– Alternative for traditional payer/provider players to compete w/ IDNs
• Liquid data will enable Predictive Medicine
• From Disease-centric to Prevention-centric
• Age of Consumerization – Promotion, Cognitive
Support, & Wellness are demanded
FUTURE PROOF TECHNOLOGY – Support new model for medicine
FUTURE PROOF TECHNOLOGY – big players are handling big data in other industries
TRADITIONAL Data Sources
Hospitals
PCPs
Labs
Radiology
Pharmacy
Patients and Circle of Care
Payer Data
User Generated Data
(Engage, HealthKit)
NEW Data Sources
Genomics
Web and social networking-
based data
Health Publication and clinical
reference data
Business and organizational data
Environmental data
Doctors, Nurses and other
Providers
Precise Health
Machine Learning and
Thinking Software
open &
scalable
platform
EMRs & EHRs Labs/Rads
Payer Data HIEs
Public Health
FUTURE PROOF TECHNOLOGY can handle data complexity
Healthcare is changing from a closed community into an ecosystem centered around the patient and
their record which will include many elements not traditionally captured.
Open Api’s for Health Innovation & Specialty Apps
API Exposure Management Performance Analytics
Security Privacy
Dev. Portal
Onboarding Document
OWNED APPS
Learn
the API
THIRD PARTY APPS / DEVICES
Health Trust Public EHR National EHR Public HIE 1 Cal INDEX Country Wide Payer HIE 1 Provider HIE 2 Provider HIE 3
Code to
use
the API
Try
the API
App Store
FUTURE PROOF TECHNOLOGY
Care Management ACO Management
Analytics Patient Engagement
Specialty apps
Open APIs
3rd Party Apps Patient
Engagement Care Management
Data Processing Pipeline
Cleansing
Sequencing Routing
Mapping
Replay Enriching
Analytics
Application Suite
Analytics Engine
Real
Time
Micro
Batch
Data
Spaces
Clinical
Payer
Consumer
Custom
Data Engine
Integration Engine
Bulk Download
3rd Party Analytics
EMPI
Patient
Registries Streaming &
Computation
Engine
In Memory Massively
Parallel Processing
Raw Data
Store
Terminology
Services
Privacy Service
Consumer
EMR / PMS
Lab
Payer
HIE
FUTURE PROOF TECHNOLOGY Architecture
Satisfaction - Patient data available at clinical encounter (vs patient as courier)
Treatment – Additional patient data available at clinical encounter (vs fragment)
Electronic Secure Data – HIPAA compliant storage and retrieval of PHI (vs paper copies)
Patient Engagement – Incremental data allows payers and providers to engage in more effective/targeted engagement (vs mass mailing)
Savings – Variation in data helps identify and eliminate waste within clinical and administrative workflows
http://www.himss.org/ValueSuite
STEPS – Where is the value?
Questions
Contact Information:
Dave Watson Dave Bennett
CEO EVP
Cal INDEX Orion Health