Literature DB >> 15589810

Medical errors: impact on clinical laboratories and other critical areas.

Jawahar Kalra1.   

Abstract

The Institute of Medicine (IOM) report (1999) stated that the prevalence of medical errors is high in today's health care system. Some specialties in health care are more risky than others. A varying blunder/error rate of 0.1-9.3% in clinical diagnostic laboratories has been reported in the literature. Many of these errors occur in the preanalytical and postanalytical phases of testing. It has been suggested that the errors occurring in clinical diagnostic laboratories are smaller in number than those occurring elsewhere in a hospital setting. However, given the quantum of laboratory tests used in health care, even this small rate may reflect a large number of errors. The surgical specialties, emergency rooms, and intensive care units have been previously identified as areas of risk for patient safety. Though the nature of work in these specialties and their interdependence on clinical diagnostic laboratories presents abundant opportunities for error-generating behavior, many of these errors may be preventable. Appropriate attention to system factors involved in these errors and designing intelligent system approaches may help control and eliminate many of these errors in health care.

Entities:  

Mesh:

Year:  2004        PMID: 15589810     DOI: 10.1016/j.clinbiochem.2004.08.009

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  20 in total

1.  Knowledge and perceptions of quality systems among Vermont laboratorians.

Authors:  Steven R Blumen; Phda Shelly Naud; Mary Val Palumbo; Barbara McIntosh; Burton W Wilcke
Journal:  Public Health Rep       Date:  2010 May-Jun       Impact factor: 2.792

2.  No preanalytical errors in laboratory testing: a beneficial aspect for patients.

Authors:  Satyavati V Rana
Journal:  Indian J Clin Biochem       Date:  2012-10

3.  Impact of proficiency testing program for laboratories conducting early diagnosis of HIV-1 infection in infants in low- to middle-income countries.

Authors:  Albert Garcia; Shambavi Subbarao; Guoqing Zhang; Linda Parsons; John Nkengasong; Chin-Yih Ou; Dennis Ellenberger
Journal:  J Clin Microbiol       Date:  2013-12-18       Impact factor: 5.948

4.  Factors associated with iatrogenesis in neonatal intensive care units: an observational multicenter study.

Authors:  Einav Srulovici; Liora Ore; Eric S Shinwell; Shraga Blazer; Shmuel Zangen; Arieh Riskin; David Bader; Amir Kugelman
Journal:  Eur J Pediatr       Date:  2012-07-28       Impact factor: 3.183

Review 5.  Managing the pre- and post-analytical phases of the total testing process.

Authors:  Robert Hawkins
Journal:  Ann Lab Med       Date:  2011-12-20       Impact factor: 3.464

6.  Ten years of preanalytical monitoring and control: Synthetic Balanced Score Card Indicator.

Authors:  Maria Salinas; Maite López-Garrigós; Emilio Flores; Ana Santo-Quiles; Mercedes Gutierrez; Javier Lugo; Rosa Lillo; Carlos Leiva-Salinas
Journal:  Biochem Med (Zagreb)       Date:  2015       Impact factor: 2.313

7.  Types and Frequency of Errors during Different Phases of Testing At a Clinical Medical Laboratory of a Teaching Hospital in Tehran, Iran.

Authors:  Alireza Abdollahi; Hiva Saffar; Hana Saffar
Journal:  N Am J Med Sci       Date:  2014-05

8.  Analysis of a multilevel diagnosis decision support system and its implications: a case study.

Authors:  Alejandro Rodríguez-González; Javier Torres-Niño; Miguel A Mayer; Giner Alor-Hernandez; Mark D Wilkinson
Journal:  Comput Math Methods Med       Date:  2012-12-23       Impact factor: 2.238

Review 9.  How to conduct External Quality Assessment Schemes for the pre-analytical phase?

Authors:  Gunn B B Kristensen; Kristin Moberg Aakre; Ann Helen Kristoffersen; Sverre Sandberg
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

Review 10.  Preanalytical considerations in blood gas analysis.

Authors:  Geoffrey Baird
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

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