Data Quality

Problem Summary

Data collection across a growing stream of contributing facilities and variables requires automated, consistent, and efficient monitoring of quality. Epidemiologists tasked with analyzing syndromic data need to be confident in the overall quality of their data, and aware of the effects of poor data quality when interpreting data. Data quality is also increasingly important as data are shared across jurisdictions and combined for analysis.

October 30, 2017

The Public Health Community Platform: Implementing Electronic Case Reporting

The PHCP is a community-led initiative to provide shared infrastructure, services, and applications to the public health community as solutions for complex public health informatics problems. The project has progressed by establishing a governance structure led by an executive committee representative of the public health practice community. The executive committee has established the strategic path for the continued development of the PHCP and prioritized eCR as the initial use case for implementation.


September 21, 2017

Public Health Community Platform: A future solution for a modern public health enterprise

The Public Health Community Platform (PHCP) is a CDC-funded ASTHO project envisioned to provide Universal access to modernized shared resources that efficiently, securely, and collaboratively transform data into action for a healthier nation.

June 29, 2017

Economic Modeling of Syndromic Surveillance Systems -- A Roundtable Discussion on Association of state and Territorial Health Official's (ASTHO) Investment Decision Model

One of ASTHO’s key goals is to help its jurisdictions meet member needs for technical assistance, including making informed decisions about their syndromic surveillance options. To help them make such decisions, ASTHO worked with Booz Allen to create a decision analysis model, which factors in both a Value of Information (VOI) model and a Return on Investment (ROI) model. The model provides a dashboard of its outputs, which is a simple, easy-to-understand comparative view of multiple syndromic surveillance investment scenarios.


October 05, 2017

Community Engagement among the BioSense 2.0 User Group

BioSense 2.0 has become a platform for technical receipt and analysis of syndromic surveillance data for many jurisdictions nationwide, as well as a collaborative effort that has engaged a larger community of syndromic surveillance practitioners, Governance Group, and federal agencies and organizations. The potential longterm benefits of BioSense 2.0 for resource and data sharing have at times been overshadowed by the short-term limitations of the system and disconnected efforts among the CoP.

October 10, 2017

The Public Health Community Platform: Shared Resources For Enterprise Solutions

Public health is at a precipice of increasing demand for the consumption and analysis of large amounts of disparate data, the centralization of local and state IT offices, and the compartmentalization of programmatic technology solutions. Public health informatics needs differ across programmatic areas, but may have commonalities across jurisdictions.

December 12, 2017

West Virginia BioSense Training

Marcus Rennick, Epidemiologist with the Marion County Public Health Department (WV), provides an overview/training on the BioSense System.


Time Overview:

(45 minutes) Syndromic Surveillance and BioSense Overview

(90 minutes) Hands-on BioSense Tutorial

(20 minutes) Introduction and hands-on to other ways to access the data than just the front end application

(20 minutes) Resources and Community Support

May 16, 2019

Check! Explore barriers and solutions to data sharing to BioSense 2.0

The benefits of inter-jurisdictional data sharing have been touted as a hallmark of BioSense 2.0, a cloud-based computing platform for syndromic surveillance. A key feature of the BioSense 2.0 platform is the ability to share data across jurisdictions with a standardized interface. Jurisdictions can easily share their data with others by selecting data sharing partners from a list of participating jurisdictions.

October 31, 2017

Check! Explore Barriers and Solutions to Data Sharing on BioSense 2.0

Inter-jurisdictional data sharing can enhance disease surveillance capabilities for local, state, regional and national public health situational awareness and response. BioSense 2.0, a cloud-based computing platform for syndromic surveillance, provides participating local, state and federal health jurisdictions with the ability to share aggregated data; a functionality that is easily activated by selecting an administrative checkbox within the BioSense application. Checking the data-sharing box, however, is a considerable decision that comes with benefits and consequences.

August 22, 2018

Guidelines for Navigating Human Subjects Review and Preparing Data Sets for Sharing with the ISDS Technical Conventions Committee

Collaborative relationships between academicians and public health practitioners are necessary to ensure that methodologies created in the research setting translate into practice. One barrier to forging these collaborations is restrictions on the sharing and availability of public health surveillance data; therefore, most academics with expertise in method development cannot access 'real world' surveillance data with which to evaluate their approaches.

April 28, 2019


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