Literature DB >> 21788544

Defining health information technology-related errors: new developments since to err is human.

Dean F Sittig1, Hardeep Singh.   

Abstract

Despite the promise of health information technology (HIT), recent literature has revealed possible safety hazards associated with its use. The Office of the National Coordinator for HIT recently sponsored an Institute of Medicine committee to synthesize evidence and experience from the field on how HIT affects patient safety. To lay the groundwork for defining, measuring, and analyzing HIT-related safety hazards, we propose that HIT-related error occurs anytime HIT is unavailable for use, malfunctions during use, is used incorrectly by someone, or when HIT interacts with another system component incorrectly, resulting in data being lost or incorrectly entered, displayed, or transmitted. These errors, or the decisions that result from them, significantly increase the risk of adverse events and patient harm. We describe how a sociotechnical approach can be used to understand the complex origins of HIT errors, which may have roots in rapidly evolving technological, professional, organizational, and policy initiatives.

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Year:  2011        PMID: 21788544      PMCID: PMC3677061          DOI: 10.1001/archinternmed.2011.327

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


  21 in total

1.  Computer crash--lessons from a system failure.

Authors:  Peter Kilbridge
Journal:  N Engl J Med       Date:  2003-03-06       Impact factor: 91.245

2.  Review of Reported Clinical Information System Adverse Events in US Food and Drug Administration Databases.

Authors:  Risa B Myers; Stephen L Jones; Dean F Sittig
Journal:  Appl Clin Inform       Date:  2011       Impact factor: 2.342

3.  "e-Iatrogenesis": the most critical unintended consequence of CPOE and other HIT.

Authors:  Jonathan P Weiner; Toni Kfuri; Kitty Chan; Jinnet B Fowles
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

4.  Eight rights of safe electronic health record use.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  JAMA       Date:  2009-09-09       Impact factor: 56.272

5.  Improving response to critical laboratory results with automation: results of a randomized controlled trial.

Authors:  G J Kuperman; J M Teich; M J Tanasijevic; N Ma'Luf; E Rittenberg; A Jha; J Fiskio; J Winkelman; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

6.  A new sociotechnical model for studying health information technology in complex adaptive healthcare systems.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  Qual Saf Health Care       Date:  2010-10

7.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

8.  EHR safety: the way forward to safe and effective systems.

Authors:  James M Walker; Pascale Carayon; Nancy Leveson; Ronald A Paulus; John Tooker; Homer Chin; Albert Bothe; Walter F Stewart
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

9.  Prescription errors and outcomes related to inconsistent information transmitted through computerized order entry: a prospective study.

Authors:  Hardeep Singh; Shrinidi Mani; Donna Espadas; Nancy Petersen; Veronica Franklin; Laura A Petersen
Journal:  Arch Intern Med       Date:  2009-05-25

10.  Improving follow-up of abnormal cancer screens using electronic health records: trust but verify test result communication.

Authors:  Hardeep Singh; Lindsey Wilson; Laura A Petersen; Mona K Sawhney; Brian Reis; Donna Espadas; Dean F Sittig
Journal:  BMC Med Inform Decis Mak       Date:  2009-12-09       Impact factor: 2.796

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  45 in total

1.  The dangerous decade.

Authors:  Enrico Coiera; Jos Aarts; Casimir Kulikowski
Journal:  J Am Med Inform Assoc       Date:  2011-11-24       Impact factor: 4.497

2.  Are physicians' perceptions of healthcare quality and practice satisfaction affected by errors associated with electronic health record use?

Authors:  Jennifer S Love; Adam Wright; Steven R Simon; Chelsea A Jenter; Christine S Soran; Lynn A Volk; David W Bates; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2011-12-23       Impact factor: 4.497

3.  Cognitive Errors in Reconciling Complex Medication Lists.

Authors:  Jan Horsky; Harley Z Ramelson
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

4.  A typology of electronic health record workarounds in small-to-medium size primary care practices.

Authors:  Asia Friedman; Jesse C Crosson; Jenna Howard; Elizabeth C Clark; Maria Pellerano; Ben-Tzion Karsh; Benjamin Crabtree; Carlos Roberto Jaén; Deborah J Cohen
Journal:  J Am Med Inform Assoc       Date:  2013-07-31       Impact factor: 4.497

Review 5.  Impact of electronic health record systems on information integrity: quality and safety implications.

Authors:  Sue Bowman
Journal:  Perspect Health Inf Manag       Date:  2013-10-01

6.  Electronic health records: what are the most important barriers?

Authors:  Haleh Ayatollahi; Nader Mirani; Hamid Haghani
Journal:  Perspect Health Inf Manag       Date:  2014-10-01

7.  Data Quality Assessment in Emergency Medical Services: What Are the Stakeholders' Perspectives?

Authors:  Mehrnaz Mashoufi; Haleh Ayatollahi; And Davoud Khorasani-Zavareh
Journal:  Perspect Health Inf Manag       Date:  2019-01-01

8.  Assessing the Safety of Custom Web-Based Clinical Decision Support Systems in Electronic Health Records: A Case Study.

Authors:  Jeritt G Thayer; Jeffrey M Miller; Alexander G Fiks; Linda Tague; Robert W Grundmeier
Journal:  Appl Clin Inform       Date:  2019-04-03       Impact factor: 2.342

9.  Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project.

Authors:  Gordon D Schiff; Harry Reyes Nieva; Paula Griswold; Nicholas Leydon; Judy Ling; Frank Federico; Carol Keohane; Bonnie R Ellis; Cathy Foskett; E John Orav; Catherine Yoon; Don Goldmann; Joel S Weissman; David W Bates; Madeleine Biondolillo; Sara J Singer
Journal:  Med Care       Date:  2017-08       Impact factor: 2.983

10.  Risk analysis and user satisfaction after implementation of computerized physician order entry in Dutch hospitals.

Authors:  Willem van der Veen; Han J J de Gier; Tjerk van der Schaaf; Katja Taxis; Patricia M L A van den Bemt
Journal:  Int J Clin Pharm       Date:  2012-11-28
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