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public and population health informatics - Coggle Diagram
public and population health informatics
socio-technological infrastructure
Big data: the growing variety of data sources and types of available health-related data
ex. drug discovery
ex. injury surveillance
visualization technologies used to track and manage population health trends
social media and mhealth
interoperability: the need for better data exchange between healthcare and public health systems
surveillance methods: increased use of spatial analyitics to monitor and understand the spread of disease and outbreaks ex. GIS
population health: studies over and extended time frames concerns regarding integrity of data bc of data standards, measurement tools and data collection protocols
workforce development
training in informatics
epidemiology and technology: align them to benefit
research
governance and ethics
data privacy and confidentiality
data governance: establishing en ethical framework for handling sensitive health data across different sectors
sustainability
strategic partnerships: building community partnerships to support long term informatics initative
funding models: developing new financial models to sustain public health services and informatics tools
stable funding
social determinants of health
Factors such as SES, education, environment, etc.
integration of SDH into health informatics
alignment of public and population health
shift in healthcare financing model: more value based
health information exchanges: link clinical and public health information
population health management