public health informatics in the age of ehrs and the aca: getting to priorities
DESCRIPTION
Public Health Informatics in the Age of EHRs and the ACA: Getting to Priorities. John W. Loonsk MD FACMI, Brian Castrucci , James B. Sprague MD PHI Conference April, 2014. Our Mission and Funding Areas. We believe in a strong governmental public health system We fund - PowerPoint PPT PresentationTRANSCRIPT
Related Activities
• With Duke and CDC, fostering public health / primary care integration though “Practical Playbook” project (practicalplaybook.org)
• Focused on public health workforce including work with the Public Health Informatics Institute (PHII) to help form Public Health Informatics Academy and the PHII Requirements Lab (www.phii.org/what-we-do)
• Committed to advancing informatics for a strong public health system
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• Public health informatics at critical juncture• Over 70% of hospitals and 45% of community providers
now have Electronic Health Records (EHRs) subsequent to over 30 billion in public incentive dollars
• Health departments not commensurately supported to participate in electronic interaction with clinical care
• Electronic Health Records (EHRs) do not address many population health functional needs
Context
• New clinical payment methodologies and the Affordable Care Act (ACA) are pushing clinical care organizations to address more population health functions
• Health is rapidly entering an era of “big data” and clinical care is the largest health data producer
• Jurisdictional, infrastructural, privacy, data and workforce challenges continue to face public health informatics
Context
• Population health• Public health• Population health
management
Relevant Terms
PopulationHealth
Population Health
Management
Public Health
ClinicalCare
HealthDepartment
Question
How should public health informatics proceed in this age of Electronic Health Records and the Affordable Care Act?
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• Initiated interviews with senior thought leaders• Convened 32 public health, clinical care, and
health informatics leaders including senior representation from the CDC, ONC, ASTHO, NACCHO, CSTE and others
• Complete findings and plans will be forthcoming
• Discussed industry trends, challenges and strategies for moving forward
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Methods
Findings• EHRs are only one of many important health IT
applications• Population health management and public health
share a number of common functions• Clinical care population health will principally focus
on the 5% of patients who use 50 to 80% of health resources
• Health Information Exchange organizations are either "the answer“ for public health or are "dead"
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Findings – “Information”• Public health access to EHRs, multi-payer claims
databases, and reported data is frequently non-existent or problematic
• Factors involved in connecting to clinical care and low public health "Meaningful Use" reporting numbers are complex
• Basic case reporting still eludes automated clinical care – public health exchange
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Findings – “Public Health”• Data sciences for big data clinical care analytics
are not yet reconciled with epidemiology• Needs for a "value exchange" / partnership
between Accountable Care Organizations and public health
• Public health funding silos impede progress• Health departments will continue to offer the
“jurisdictional denominator” and complete population perspective
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Initial Conclusions• Needs for action• Government HITECH and ACA efforts do not
significantly advance informatics solutions for a strong, population-inclusive public health system
• Clinical care organizations and EHR vendors are early in consideration of population health functions
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Strategies
PopulationHealth
Population Health
Management
Public Health
ClinicalCare
HealthDepartment
Data,Value,and
Synergies
• Establish public health / clinical care value equation• e.g. a public health – ACO business
contract
• Advance second generation approaches to accessing information• e.g. role-based access "accounts" in
EHRs for public health workers
Strategies
PopulationHealth
Population Health
Management
Public Health
ClinicalCare
HealthDepartment
Data,Value,and
Synergies
• Help rationalize health department and population health IT• e.g. sharing population health and
public health reporting infrastructure
• Align population health incentives, funding and workforce• e.g. help reduce barriers from silo'ed
program funding