Literature DB >> 3382293

Adverse drug event reporting. Improving the low US reporting rates.

S A Edlavitch1.   

Abstract

Mesh:

Year:  1988        PMID: 3382293

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


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  11 in total

Review 1.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

2.  Computerized surveillance of adverse drug events in hospital patients. 1991.

Authors:  D C Classen; S L Pestotnik; R S Evans; J P Burke
Journal:  Qual Saf Health Care       Date:  2005-06

3.  Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems.

Authors:  P M Kilbridge; E M Welebob; D C Classen
Journal:  Qual Saf Health Care       Date:  2006-04

Review 4.  Bar Code Medication Administration Technology: A Systematic Review of Impact on Patient Safety When Used with Computerized Prescriber Order Entry and Automated Dispensing Devices.

Authors:  Kieran Shah; Clifford Lo; Michele Babich; Nicole W Tsao; Nick J Bansback
Journal:  Can J Hosp Pharm       Date:  2016-10-31

5.  Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool.

Authors:  Alexander A Leung; Carol Keohane; Stuart Lipsitz; Eyal Zimlichman; Mary Amato; Steven R Simon; Michael Coffey; Nathan Kaufman; Bismarck Cadet; Gordon Schiff; Diane L Seger; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2013-04-18       Impact factor: 4.497

6.  Drug-drug interactions in cardiac and cardiothoracic intensive care units: an analysis of patients in an academic medical centre in the US.

Authors:  Pamela L Smithburger; Sandra L Kane-Gill; Amy L Seybert
Journal:  Drug Saf       Date:  2010-10-01       Impact factor: 5.606

Review 7.  Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Authors:  Abhyuday Jagannatha; Feifan Liu; Weisong Liu; Hong Yu
Journal:  Drug Saf       Date:  2019-01       Impact factor: 5.606

8.  Relationship between medication errors and adverse drug events.

Authors:  D W Bates; D L Boyle; M B Vander Vliet; J Schneider; L Leape
Journal:  J Gen Intern Med       Date:  1995-04       Impact factor: 5.128

9.  The frequency of missed test results and associated treatment delays in a highly computerized health system.

Authors:  Terry L Wahls; Peter M Cram
Journal:  BMC Fam Pract       Date:  2007-05-22       Impact factor: 2.497

10.  Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.

Authors:  Tsendsuren Munkhdalai; Feifan Liu; Hong Yu
Journal:  JMIR Public Health Surveill       Date:  2018-04-25
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