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Public and Population Health Informatics - Coggle Diagram
Public and Population Health Informatics
introduction
overview: importance of integrating data sources for health outcomes
methods
public health informatics 3.0
leadership opportunities
capitalizing on new data sources
data availability
reduced need for data aggregation and validation
collaboration with healthcare providers & stakeholders
workforce development
need for skilled workforce management and data analysis
alignment of population and PH informatics
value-based delivery models: shift towards population health instead of individual health
EHR Adoption: increased adoption amongst providers
population-level health measures: calculation using shared data from PH agencies
social determinants of health (SDH)
integration of non medical factors: Importance of SDH in healthcare
data sources
connecting government, corporate, and neighborhood-level data
factors influencing health: housing, employment, safety, etc.
results
key findings
increased collabration between sectors
data-driven health improvements
discussion
implications
need for SDH factors within healthcare
the importance of community partnership for best health outcomes
limitations
exclusions
publication bias towards positive outcomes
overlooked findings in healthcare delivery
non-english articles/not indexed in PubMed
conclusions
emerging partnerships
growth of collaborations between medical care providers and PH agencies
integrated population health informatics infastructure
social and environmental determinants of health
shift in health management
increased use of informatics for proactive health management
essential for community health
importance of integration for improving health and well-being of everyone
future directions
continued integration
need to continue collaborating and sharing data
research focus
further studies on the impact of SDH interventions and its benefits