Literature DB >> 22101488

Technology-induced errors. The current use of frameworks and models from the biomedical and life sciences literatures.

E M Borycki1, A W Kushniruk, P Bellwood, J Brender.   

Abstract

OBJECTIVE: The objective of this paper is to examine the extent, range and scope to which frameworks, models and theories dealing with technology-induced error have arisen in the biomedical and life sciences literature as indexed by Medline®.
METHODS: To better understand the state of work in the area of technology-induced error involving frameworks, models and theories, the authors conducted a search of Medline® using selected key words identified from seminal articles in this research area. Articles were reviewed and those pertaining to frameworks, models or theories dealing with technology-induced error were further reviewed by two researchers.
RESULTS: All articles from Medline® from its inception to April of 2011 were searched using the above outlined strategy. 239 citations were returned. Each of the abstracts for the 239 citations were reviewed by two researchers. Eleven articles met the criteria based on abstract review. These 11 articles were downloaded for further in-depth review. The majority of the articles obtained describe frameworks and models with reference to theories developed in other literatures outside of healthcare. The papers were grouped into several areas. It was found that articles drew mainly from three literatures: 1) the human factors literature (including human-computer interaction and cognition), 2) the organizational behavior/sociotechnical literature, and 3) the software engineering literature.
CONCLUSIONS: A variety of frameworks and models were found in the biomedical and life sciences literatures. These frameworks and models drew upon and extended frameworks, models and theoretical perspectives that have emerged in other literatures. These frameworks and models are informing an emerging line of research in health and biomedical informatics involving technology-induced errors in healthcare.

Entities:  

Mesh:

Year:  2011        PMID: 22101488     DOI: 10.3414/ME11-02-0009

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  10 in total

Review 1.  Understanding Unintended Consequences and Health Information Technology:. Contribution from the IMIA Organizational and Social Issues Working Group.

Authors:  C E Kuziemsky; R Randell; E M Borycki
Journal:  Yearb Med Inform       Date:  2016-11-10

2.  Human Factors for More Usable and Safer Health Information Technology: Where Are We Now and Where do We Go from Here?

Authors:  A Kushniruk; C Nohr; E Borycki
Journal:  Yearb Med Inform       Date:  2016-11-10

Review 3.  Methods for Addressing Technology-induced Errors: The Current State.

Authors:  E Borycki; J W Dexheimer; C Hullin Lucay Cossio; Y Gong; S Jensen; J Kaipio; S Kennebeck; E Kirkendall; A W Kushniruk; C Kuziemsky; R Marcilly; R Röhrig; K Saranto; Y Senathirajah; J Weber; H Takeda
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  Preliminary Exploration of Main Elements for Systematic Classification Development: Case Study of Patient Safety Incidents.

Authors:  Riikka Vuokko; Anne Vakkuri; Sari Palojoki
Journal:  JMIR Form Res       Date:  2022-03-29

Review 5.  Review of Social and Organizational Issues in Health Information Technology.

Authors:  Craig E Kuziemsky
Journal:  Healthc Inform Res       Date:  2015-07-31

6.  Trends in health information technology safety: from technology-induced errors to current approaches for ensuring technology safety.

Authors:  Elizabeth Borycki
Journal:  Healthc Inform Res       Date:  2013-06-30

7.  Finding Meaning in Medication Reconciliation Using Electronic Health Records: Qualitative Analysis in Safety Net Primary and Specialty Care.

Authors:  George Yaccoub Matta; Elaine C Khoong; Courtney R Lyles; Dean Schillinger; Neda Ratanawongsa
Journal:  JMIR Med Inform       Date:  2018-05-07

8.  A structured framework for optimizing high-intensity focused ultrasound ablative treatment in localized prostate cancer.

Authors:  Daniele Castellani; Alessandro Branchi; Redi Claudini; Luca Gasparri; Tiziana Pierangeli; Elena Ravasi; Marco Dellabella
Journal:  Investig Clin Urol       Date:  2019-06-20

Review 9.  A methodology for validating safety heuristics using clinical simulations: identifying and preventing possible technology-induced errors related to using health information systems.

Authors:  Elizabeth Borycki; Andre Kushniruk; Christopher Carvalho
Journal:  Comput Math Methods Med       Date:  2013-03-31       Impact factor: 2.238

10.  Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis.

Authors:  Neda Ratanawongsa; George Y Matta; Fuad B Bohsali; Margaret S Chisolm
Journal:  JMIR Hum Factors       Date:  2018-02-06
  10 in total

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