statewide data interoperability for improving population health
TRANSCRIPT
Statewide Data Interoperability For Improving Population Health
Wu Xu, PhDState Health IT Coordinator
Director, Center for Health Data & Informatics
Utah Department of HealthMay 23, 2016
Iona Thraen, PhDUT State Innovation Model GrantDirector, Office of Health Systems
Collaboration
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States as LaboratoriesFor Nationwide Clinical and Public Health Data Interoperability
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Discovering Laboratories’ Commonality
Participants from states and large cities/counties share their interoperability visions, priorities and strategies at the Public Health Informatics for Leaders Forum
Sponsored by Public Health Informatics Institute, April 26, 2016, Atlanta, GA
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Definitions of Population Health
Population Health Domains*
* Adopted from Public Health 101: Healthy People-Healthy Population by R. Reigelman, 2010, Sudbury, Jones & Bartlett.
** http://www.improvingpopulationhealth.org/blog/what-is-population-health.html
Population Health is defined as the health outcomes of a group of individuals, including the distribution of such outcomes within the group.**
Social & Human Services
Public Health
Community Health
Healthcare Systems
Individual/Consumer
Health
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http://www.phi.org/news-events/806/85-of-hospitals-committed-to-population-health-says-ahaphi-national-survey
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Key Outcome of Population Health
Utah Department of Health’s Definition of Population Health: UDOH integrates its practice with health systems and payers to fully address determinants and outcomes of health in the Utah population and its sub-populations.
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Public HealthHealth Care
Innovative Clinical
Prevention
Traditional Clinical
Prevention
Increase the use of
evidence-based services
Provide services outside the
clinical setting
Total Population or Community-Wide
Prevention
Implement interventions that
reach whole populations
1 2 3
The 3 Buckets of Prevention
• Article by John Auerbach, 2016, available on the Journal of Public Health Management and Practice’s website – www.JPHMP.com
Shared Space: Innovative Clinical Prevention
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Population Health Business Cases with ROI in 5yrs
Promote adoption of evidence-based interventions in collaboration with health care purchasers, payers, and providers
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Informatics Support to the 6|18
Use Case Informatics Support in Utah
Reduce Tobacco Use HIE facilitates “quit-line” referrals
Control High Blood Pressure
APCD estimates of risk populations and cost Population data collection from HIE, systems
Control Asthma APCD risk and cost analysis BRFSS, Inpatient, ED, clinical asthma patient
distribution Outcome evaluation
Control and Prevent Diabetes
Local data to supporting health and cost evidence and monitor progress
APCD patient risk and cost analysis
Data Interoperability for Population Health
= Information Exchanges & Analysis across EHR, HIE & Public Health
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Utah’s Information Exchange Strategies • Develop a Shared Vision• Develop a Shared Statewide Health IT Plan• Develop Governance for The Shared Identification
Services for Utahns (ThSisU)• Leverage State-Designated Health Information Exchange
(HIE)• Leverage Public Health Meaningful Use Reporting• Pilot Other “Meaningful” Public Health Information
Services• Clinical Data Needs for Population Health Collaborative:
Clinical measures and Advanced Analytics
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Utah Statewide Shared Vision, 2015 -
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Alignment Federal and State Health IT Goals
• Federal ONC Goals: Advance Person-Centered
and Self-Managed Health Transform Health Care
Delivery and Community Health
Foster Research, Scientific Knowledge, and Innovation
Enhance Nation’s Health IT Infrastructure
https://www.healthit.gov/sites/default/files/9-5-federalhealthitstratplanfinal_0.pdf
• Utah HIT Goals (Draft): Advance the Health and Well-
being of Individuals and Communities through Person-centered & Self-managed Health
Strengthen Health Care Delivery Transformation
Enhance Utah's Interoperable Health It Infrastructure
Support Research, Innovation, and Implementation Science
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Need for Statewide Master Person Index
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ThSisU: Governance
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ThSisU: Building Blocks and Initial Use Cases
Patient Identity Service• Identity proofing• Link digital identity to patient records• Match digital identities across organizations
Risk Indemnification
ThSisU Identity-related Building Blocks to support appropriate data movement
Selected Care Coordination Use Cases
Trust framework
Pooled-shared knowledge
Business case and financial benefit
Provider Electronic Receiving Specifics• Provider digital identity repository• Provider identity proofing
Care Team• Message interfaces• Care team imputation algorithms tested• Encounter records from member
organizations
Patient Proxy Relationship Management• Proxy relationship verification and policy
Case Information Delivery
Newborn data Bundle• Electronic birth certificate• Screening orders, tracking
results• Pediatrician identification and
follow-up
End of Life Care• Electronic POLST• Advance Directives• Emergency Medical Services
Poison Control • Case coordination with
Emergency Physicians
Meaningful Use (MU) and Health Information Exchange (HIE) are Transforming Silo Pubic Health Systems’ Data Communication and Analytics
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Silo Public Health Information Systems
• UDOH has about 1,000 employees more than 100 stand along information systems. A hospital may report data in about 30 different ways to UDOH A program may use 10 different methods to exchange data with
external entities• Root causes
Historically categorical funding streams and restrictions Decentralized business and IT management structures Legacy systems and aging workforce Lack of federal-state strategic collaboration and adequate
funding
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Transformation by MU and HIE
• Public Health Meaningful Use Reporting Immunization Records (bi-directional) Electronic Laboratory Reporting Syndromic Surveillance Reporting Cancer Registry
• Public Health Uses the Statewide HIE Meaningful Use Reproting Newborn Hearing Screening Results & Diagnostics Reports
Exchange Emergence Medical Services Poisoning Control Data exchange through cHIE
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MU Challenges: EHR-IIS complexities
USIIS
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MU Challenges (cont.)• MU instructions from various sources
CMS, ONC, Medicaid, EHR vendors, UDOH, USIIS, REC, etc.
• Complexity of EHR systems and EHR-USIIS interfaces• Multiple possible points of failure
• Understand and undertake responsibility for data quality– In EHR system and in USIIS– Clinic workflow and staff practices impact data quality
USIIS
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Shared Service for Interoperability
INTERFACES:• SFTP• VPN• HTTPS• SOAP Web Service• PHIN MS• Secure web portal
GATEWAY and INTEGRATION ENGINE: • Mirth Connect• Rhapsody • Shared Service Platform• HIE
“No Door is a Wrong Door” Tradition is Costly.
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PHCP: Electronic Case Reporting
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Direct
1g
HIE Solution
EHR
System B
HIESolution
EHR
System A
My Health
1a
2i
1b
2h
Diagnostics
Test Results
Test Results
HIE SolutionDOH Gateway
Identity Resolver
Public Health
2a
2b2c
EHDI
Test Results
Early Hearing Detection &
Intervention (EHDI)
Diagnosti
cs
Standard-based Message Broker
(eHEX, Direct, HL7v2)
Relationship Resolver
Message O
rchestrator
Message Router
Format Converter
Identity Resolver
Alert/Notification
Central Repository
HIE
2d1c
1d
1e
1f
2e
2g
2f
HIE Use Case 1: EHR sends hearing diagnostics reports to public health registryHIE Use Case 2: EHR receives hearing test results from public health registry
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Vital Records and EHRsBIRTH and DEATH records are fundamental public health data
Registration systems are electronic but silo with manual data entry• Pilot: Quality of Birth Data Extracted from HER
Most of the labor, delivery and newborn care information are available
PDF information (i.e. prenatal or out of network care) can’t automated extracted [J. Duncan, et al. CDC 2015-Q-17144)
• EHR Death Certificate Reporting EHR and EDEN interoperability for physicians to timely enter the
Cause of Death via their own EHR • Death Notification for EHR Patient Identity Validation
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Informatics and Opioids Crisis
• Utah ranked the 4th highest for drug poisoning deaths in the U.S.
• State Interventions:Prescription Drug Management ProgramControlled Substance Database (CSD)
• Informatics SupportEHR - CSD connection or single login for prescribersEducation and decision-support to prescribersAutomated prescription misuse/abuse surveillanceTimely information for community intervention
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Challenges for Analytics and VisualizationFor Population Health Planning
opendata.utah.govPublic Health Assessment App.
Websites for Consumers
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Expanded Needs for Population Health Analytics
Domain Public Health Informatics Population Health Informatics
Data Source Public health data + clinical & other data sources
Data Model Disease/event centric + Person, People, community-centric
Interoperability Silo systems + Linkage and real-time exchange are required
User Public health profession + Diverse external users
Analytics Standard public health measures, pre-defined conditions
+ flexible user-defined measures and populations
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Develop Population Health Informatics
• Develop shared vision and frameworksPopulation health use case driven technical design
• Build interoperability between clinical and public health data Standard terminology and data models Federated infrastructure among all partners Standard shared service platforms
• Flexible and shared analytics functionality for various users
• Standard quality measures for value-based purchasing, payment reform, and community health improvement
Questions?Comments?
Suggestions?
THANK YOU!