Displaying results 1 - 6 of 6
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A Value-Driven Framework For The Evaluation Of Biosurveillance Systems
Content Type: Abstract
Evaluation and strengthening of biosurveillance systems is acomplex process that involves sequential decision steps, numerous stakeholders, and requires accommodating multiple and conflicting objectives. Biosurveillance evaluation, the initiating… read more -
A Practitioner-Driven Research Agenda for Syndromic Surveillance
Content Type: Journal Article
ABSTRACT Syndromic surveillance has expanded since 2001 in both scope and geographic reach and has benefited from research studies adapted from numerous disciplines. The practice of syndromic surveillance continues to evolve rapidly. The… read more -
Disease Surveillance and Achieving Synergy In Public Health Quality Improvement
Content Type: Abstract
National efforts to improve quality in public health are closely tied to advancing capabilities in disease surveillance. Measures of public health quality provide data to demonstrate how public health programs, services, policies, and research… read more -
Recommendations for Syndromic Surveillance Using Inpatient and Ambulatory EHR Data
Content Type: Abstract
MUse will make EHR data increasingly available for public health surveillance. For Stage 2, the Centers for Medicare & Medicaid Services (CMS) regulations will require hospitals and offer an option for eligible professionals to provide… read more -
Is There a Need for One Health Surveillance (OHS)?
Content Type: Abstract
As interest in One Health (OH) continues to grow, alternative surveillance infrastructure may be needed to support it. Since most population health surveillance is domain specific; as opposed to OH which crosses multiple domains, changes to… read more -
Data Quality: A Systematic Review of the Biosurveillance Literature
Content Type: Abstract
Data quality monitoring is necessary for accurate disease surveillance. However it can be challenging, especially when “real-time” data are required. Data quality has been broadly defined as the degree to which data are suitable for use by data… read more