Literature DB >> 27477839

Decision support environment for medical product safety surveillance.

Taxiarchis Botsis1, Christopher Jankosky2, Deepa Arya2, Kory Kreimeyer2, Matthew Foster2, Abhishek Pandey2, Wei Wang3, Guangfan Zhang3, Richard Forshee2, Ravi Goud2, David Menschik2, Mark Walderhaug2, Emily Jane Woo2, John Scott2.   

Abstract

We have developed a Decision Support Environment (DSE) for medical experts at the US Food and Drug Administration (FDA). The DSE contains two integrated systems: The Event-based Text-mining of Health Electronic Records (ETHER) and the Pattern-based and Advanced Network Analyzer for Clinical Evaluation and Assessment (PANACEA). These systems assist medical experts in reviewing reports submitted to the Vaccine Adverse Event Reporting System (VAERS) and the FDA Adverse Event Reporting System (FAERS). In this manuscript, we describe the DSE architecture and key functionalities, and examine its potential contributions to the signal management process by focusing on four use cases: the identification of missing cases from a case series, the identification of duplicate case reports, retrieving cases for a case series analysis, and community detection for signal identification and characterization. Published by Elsevier Inc.

Keywords:  Information retrieval; Natural language processing; Network analysis; Post-marketing surveillance; Text mining

Mesh:

Year:  2016        PMID: 27477839     DOI: 10.1016/j.jbi.2016.07.023

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  7 in total

1.  Using Probabilistic Record Linkage of Structured and Unstructured Data to Identify Duplicate Cases in Spontaneous Adverse Event Reporting Systems.

Authors:  Kory Kreimeyer; David Menschik; Scott Winiecki; Wendy Paul; Faith Barash; Emily Jane Woo; Meghna Alimchandani; Deepa Arya; Craig Zinderman; Richard Forshee; Taxiarchis Botsis
Journal:  Drug Saf       Date:  2017-07       Impact factor: 5.606

2.  Application of Natural Language Processing and Network Analysis Techniques to Post-market Reports for the Evaluation of Dose-related Anti-Thymocyte Globulin Safety Patterns.

Authors:  Taxiarchis Botsis; Matthew Foster; Nina Arya; Kory Kreimeyer; Abhishek Pandey; Deepa Arya
Journal:  Appl Clin Inform       Date:  2017-04-26       Impact factor: 2.342

Review 3.  Contributions from the 2016 Literature on Clinical Decision Support.

Authors:  V Koutkias; J Bouaud
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 4.  Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.

Authors:  A Névéol; P Zweigenbaum
Journal:  Yearb Med Inform       Date:  2017-09-11

5.  "Artificial Intelligence" for Pharmacovigilance: Ready for Prime Time?

Authors:  Robert Ball; Gerald Dal Pan
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.228

6.  Monitoring biomedical literature for post-market safety purposes by analyzing networks of text-based coded information.

Authors:  Taxiarchis Botsis; Matthew Foster; Kory Kreimeyer; Abhishek Pandey; Richard Forshee
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26

7.  Network Analysis for Signal Detection in Spontaneous Adverse Event Reporting Database: Application of Network Weighting Normalization to Characterize Cardiovascular Drug Safety.

Authors:  Bence Ágg; Péter Ferdinandy; Mátyás Pétervári; Bettina Benczik; Olivér M Balogh; Balázs Petrovich
Journal:  Drug Saf       Date:  2022-10-06       Impact factor: 5.228

  7 in total

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