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Mind Map 5 - Coggle Diagram
Mind Map 5
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Potential limitations to increasing technology in public health and the elimination of data silos (Cons)
Digital data integration would require public health agencies to continually update employee competencies as new data sources are added.
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Removing data silos fosters ethical dilemmas in the application of digital data for public health and population level research.
A balance must be reached between attaining complete data to address community dangers and promotie a collective benefit while also mitigating the potential for individual confidentiality and privacy issues.
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There must be transparency on how data was collected, is protected, and is shared with members in the data sharing network.
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A stable funding source for this effort must be obtained to continue the effort to integrate dara and improve overall population health.
The disconnection of data management across insurance companies, medical offices, and public health groups has generated data silos.
Integrating the data systems across all health related fields has not been a priority of health providers despite its potential to yield better health outcomes for communities/defined populations.
One reason that there may be reluctant to integrating data silos is that it would take a decent amount of work/time and there are few incentives for most US clinicians.
The first attempts at linking these data silos relates to the use of electronic health record based surveillance
This attempt has been reinforced by updating policy, aligning incentives, and broadening the adoption of data sharing protocols/infrastructure. Overall, there has been a shift in focus from individual health to population health and cost efficacy. This shift includes a focus on prevention rather than expensive treatment interventions, supporting public health departments aims to reduce preventable disease incidence. Motivating entities of this value shift include Medicare and Medicaid.
State and federal policy has begun to focus on increased financial risk sharing within healthcare and fixed budgets for provider organizations so as to encourage clinicians to use digital infrastructure to its full potential and address the social determinants of health. Digital systems would enable identification of SDH factors more broadly and not just those directly linked to medical conditions.
Social determinants of health are defined as faps on care combined with non medical factors that may lead to expensive non reimbursable tertiary interventions. The responsibility to address the SDH is more equally shared across community partners including players, accountable care orgs, and healthcare delivery systems with the integration of data silos.
By enforcing these policies the public health sector reaps the benefits of the hospital and physician provider sectors which have a much higher budget. The public health sector also no longer has the burden to aggregate, clean, and validate data de novo that has been collected by other entities.
Goals of the article: review the latest developments and trends of public and population health informatics including an assessment of future information needs to analyze the potential impact of these technologies on public health surveillance and epidemiologic activities.
The article uncovered the newly emerging public health informatics vision and infrastructure which includes the alignment of informatics aims/outcomes across the separate fields of public health and population health especially with respect to SDH data.