Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance in a Distributed Data Network

Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance... Curr Epidemiol Rep (2017) 4:298–306 https://doi.org/10.1007/s40471-017-0121-0 PHARMACOEPIDEMIOLOGY (S TOH, SECTION EDITOR) Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance in a Distributed Data Network 1 1 2 2 John G. Connolly & Shirley V. Wang & Candace C. Fuller & Sengwee Toh & 2 2 3,4 1 Catherine A. Panozzo & Noelle Cocoros & Meijia Zhou & Joshua J. Gagne & Judith C. Maro Published online: 6 October 2017 Springer International Publishing AG 2017 Abstract challenges associated with the use of these methods in distrib- Purpose of Review An important component of the Food and uted and prospective datasets like the Sentinel Distributed Drug Administration’s Sentinel Initiative is the active post- Database, namely uncertainty regarding the optimal approach market risk identification and analysis (ARIA) system, which to estimating propensity scores in dynamic data among data utilizes semi-automated, parameterized computer programs to partners of heterogeneous size. implement propensity-score adjusted and self-controlled risk Summary Future research should focus on the methodological interval designs to conduct targeted surveillance of medical challenges raised by these applications as well as developing products in the Sentinel Distributed Database. In this manu- new modular programs for targeted surveillance of medical script, we http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Epidemiology Reports Springer Journals

Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance in a Distributed Data Network

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing AG
Subject
Medicine & Public Health; Epidemiology
eISSN
2196-2995
D.O.I.
10.1007/s40471-017-0121-0
Publisher site
See Article on Publisher Site

Abstract

Curr Epidemiol Rep (2017) 4:298–306 https://doi.org/10.1007/s40471-017-0121-0 PHARMACOEPIDEMIOLOGY (S TOH, SECTION EDITOR) Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance in a Distributed Data Network 1 1 2 2 John G. Connolly & Shirley V. Wang & Candace C. Fuller & Sengwee Toh & 2 2 3,4 1 Catherine A. Panozzo & Noelle Cocoros & Meijia Zhou & Joshua J. Gagne & Judith C. Maro Published online: 6 October 2017 Springer International Publishing AG 2017 Abstract challenges associated with the use of these methods in distrib- Purpose of Review An important component of the Food and uted and prospective datasets like the Sentinel Distributed Drug Administration’s Sentinel Initiative is the active post- Database, namely uncertainty regarding the optimal approach market risk identification and analysis (ARIA) system, which to estimating propensity scores in dynamic data among data utilizes semi-automated, parameterized computer programs to partners of heterogeneous size. implement propensity-score adjusted and self-controlled risk Summary Future research should focus on the methodological interval designs to conduct targeted surveillance of medical challenges raised by these applications as well as developing products in the Sentinel Distributed Database. In this manu- new modular programs for targeted surveillance of medical script, we

Journal

Current Epidemiology ReportsSpringer Journals

Published: Oct 6, 2017

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