Collaborative Automation Reliably Remediating Erroneous Conclusion Threats (CARRECT)

Jonathan C. Lansey, Paul Picciano, Ian Yohai, Fred Grant, Robert Gern

Abstract


Analyses produced by epidemiologists and public health practitioners are susceptible to bias from a number of sources. It often requires a great deal of expertise to understand and apply the multitude of tests, corrections, and selection rules, that are available. To address this challenge, Aptima began development of CARRECT, the Collaborative Automation Reliably Remediating Erroneous Conclusion Threats system. When complete, CARRECT will provide an expert system that can be embedded in an analyst's workflow. CARRECT will support statistical bias reduction and improved analyses and decision making by engaging the user in a collaborative process in which the technology is transparent to the analyst.

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DOI: https://doi.org/10.5210/ojphi.v5i1.4608



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org