Literature DB >> 16401706

Medical error and human factors engineering: where are we now?

Valerie J Gawron1, Colin G Drury, Rollin J Fairbanks, Roseanne C Berger.   

Abstract

The goal of human factors engineering is to optimize the relationship between humans and systems by studying human behavior, abilities, and limitations and using this knowledge to design systems for safe and effective human use. With the assumption that the human component of any system will inevitably produce errors, human factors engineers design systems and human/machine interfaces that are robust enough to reduce error rates and the effect of the inevitable error within the system. In this article, we review the extent and nature of medical error and then discuss human factors engineering tools that have potential applicability. These tools include taxonomies of human and system error and error data collection and analysis methods. Finally, we describe studies that have examined medical error, and on the basis of these studies, present conclusions about how human factors engineering can significantly reduce medical errors and their effects.

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Year:  2006        PMID: 16401706     DOI: 10.1177/1062860605283932

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  4 in total

1.  Errors and Nonadherence in Pediatric Oral Chemotherapy Use.

Authors:  Kathleen Walsh; Jamie Ryan; Nancy Daraiseh; Ahna Pai
Journal:  Oncology       Date:  2016-08-03       Impact factor: 2.935

2.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

3.  Reducing blood culture contamination in the emergency department: an interrupted time series quality improvement study.

Authors:  Wesley H Self; Theodore Speroff; Carlos G Grijalva; Candace D McNaughton; Jacki Ashburn; Dandan Liu; Patrick G Arbogast; Stephan Russ; Alan B Storrow; Thomas R Talbot
Journal:  Acad Emerg Med       Date:  2013-01       Impact factor: 3.451

4.  One-Year Prevalence of Perceived Medical Errors or Near Misses and Its Association with Depressive Symptoms among Chinese Medical Professionals: A Propensity Score Matching Analysis.

Authors:  Meixia Xu; Yifan Wang; Shuxin Yao; Rongju Shi; Long Sun
Journal:  Int J Environ Res Public Health       Date:  2022-03-10       Impact factor: 3.390

  4 in total

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