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I turned in the full mindmap for chapter 2: evidence based public health…
I turned in the full mindmap for chapter 2: evidence based public health last week
Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities
The current U.S healthcare's electronic data infrastructure isn't designed to meet the needs public health officials
Attempts at integrating sources to improve community health is viewed as a secondary application
Alignment of policies and fiscal incentives have led to an unprecedented sharing of data
Most clinicians have had little interest and incentives to advance population health applications until recently
Disconnection has lead to isolated data
Conclusion and Future Directions
This will result in growth in a wide range of population health centric information exchange
A shift in focus to avoiding avoidable medical events has created partnerships across public health agencies and medical care providers
Public health agencies and medical care providers are increasingly using informatics
There's a big need to bridge the divide between medical and public health agencies, the expansion of big data and health IT tools will increase their coordination
Methods
Selected 51as sufficient public health informatics
Efforts include Public Health 3.0 and Digital Bridge
Current literature (July 2016-Sept 2017)
Results
Inclusion of SDH & general improvement of surveillance and its methods
New tools in data visualization and their application have generated a lot of interest
Variety of data sources in regards to "Big Data"
One priority is the ethical application of digital data
Sustainability of digital initiatives focused on the importance of strategic partnerships in order to achieve public health objectives
Discussion
the alignment of goals across public and population health
national efforts to close the gap between clinical care and community services
The shift in the reimbursement models by insurers has motivated providers to better manage patient populations and to global budgets. which even include those who may not even use the health system
alignment of data sources, infrastructure, and data sharing
increased incorporation by public and population health informatics professionals of SDH data
non-medical data increasingly also used for possible clinical use
never been a wider interest in SDH integration among professionals
newly emerging public health informatics (3.0)
Need for data collection and analysis is growing outside of clinical settings
Since data doesn't have to be cleaned up from scratch, this data is now a valuable research
Workforce needed to manage and analyze this data
Limitations
Articles not written in English not included
Most articles focus on positive results
Focused on recently published literature within informatics of public and population health