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

Methods of Information in Medicine

Volumn 51, Issue 2, 2012, Pages 95-103

  Borycki, E M ^a   Kushniruk, A W ^a   Bellwood, P ^a   Brender, J ^b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

E iatrogenesis; Framework; Human factors; Model; Organizational; Sociotechnical; Software engineering; Technology facilitated error; Technology induced error; Theory; Unintended consequences

Indexed keywords

BIOENGINEERING; BIOLOGY; COMPUTER PROGRAM; HUMAN; IATROGENIC DISEASE; INSTRUMENTATION; MASS COMMUNICATION; MEDICAL ERROR; METHODOLOGY; NONBIOLOGICAL MODEL; ORGANIZATION; REVIEW; STATISTICS;

COMPUTATIONAL BIOLOGY; DIFFUSION OF INNOVATION; HUMAN ENGINEERING; HUMANS; IATROGENIC DISEASE; MEDICAL ERRORS; MODELS, ORGANIZATIONAL; ORGANIZATIONAL CULTURE; SOFTWARE;

EID: 84858727338     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME11-02-0009     Document Type: Article

References (40)

1. Shortliffe T, Cimino JJ. Biomedical informatics: Computer applications in health care and biomedicine. New York: Springer Verlag; 2006.
2. Kushniruk AW, Triola MM, Stein B, Borycki EM, Kannry JL. Technology-induced error and usability: The relationship between usability problems and prescription errors when using a handheld application. Int J Med Inform 2005; 74 (7-8): 519-526.
3. Ammenwerth E, Brender J, Nykänen P, Prokosch H-U, Rigby M, Talmon J. Visions and strategies to improve evaluation of health information systems-Reflections and lessons based on the HIS-EVAL workshop in Innsbruck. Int J Med Inform 2004; 73 (6): 479-491.
4. Borycki EM, Kushniruk AW. Where do technologyinduced errors come from? Towards a model for conceptualizing and diagnosing errors caused by technology (pp 148-166). In: Kushniruk AW, Borycki EM (eds). Human, Social and Organizational Aspects of Health Information Systems. Hershey, Pennsylvania: IGI global; 2008.
5. Kaplan B, Shaw NT. Future directions in evaluation research: People, organizational, and social issues. Meth Inf Med 2004: 43: 215-231.
6. Ash JS, Sittig DF, Dykstra RH, Guappone K, Carpenter JD, Seshadri V. Categorizing the unintended sociotechnical consequences of computerized provider order entry. Int J Med Inform 2007; 76S: S21-S27.
7. Koppel R, Metlay JP, Cohen A, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005: 293: 1197-1203.
8. Weiner JP, Kfuri T, Chan K, Fowles JB. E-Iatro-genesis: The most critical unintended consequence of CPOE and other HIT. JAMIA 2007; 14 (3): 387-389.
9. ®) 2011. http://www.nlm. nih.gov/pubs/factsheets/mesh.html
10. Brender J. Medical Informatics: Does the healthcare domain have special features? Letter to the Editor. Meth Inf Med 1997: 36 (1): 59-60.
11. Shortell SM, Kaluzny AD. Health care management: Organizational design and behaviour (5th ed.). Toronto: Thompson; 2006.
12. Jackson W, Verberg N. Methods: Doing social research. Toronto: Pearson; 2006.
13. Eason KD. Ergonomic perspectives on advances in human-computer interaction. Ergonomics 1991; 34 (6): 721-741.
14. Davis D, Drey N, Gould D. What are scoping studies? A review of the nursing literature. International Journal of Nursing Studies 2009; 46: 1386-1400.
15. Arksey H, O'Malley L. Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology 2005; 8 (1): 19-32.
16. Edyburn DL. Models, theories and frameworks: Contributions to understanding special education technology. Special Ed Tech Practice 2001; March/ April: 16-24.
17. Dictionary Reference.com. http://www. thefreedictionary.com/framework. Accessed on 18-04-2011.
18. Rogers EM. Diffusion of innovations (4th ed.). Free Press: New York; 1995.
19. Sittig DF, Singh H. A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Qual Saf Health Care 2011; 19: i68-i74.
20. Reason J. Human error: Models and management. BMJ 2000; 320: 768-770.
21. Borycki EM, Kushniruk AW, Keay L, Kuo M-H. Framework for identifying where technologyinduced errors come from. Stud Health Technol Inform 2009; 148: 1-187.
22. Zhang J, Patel VL, Johnson TR, Shortliffe EH. A cognitive taxonomy of medical errors. Journal of Biomedical Informatics 2004; 37: 193-204.
23. Borycki E, Kushniruk A. Identifying and preventing technology-induced errors using simulations: Application of usability engineering techniques. Healthcare Quarterly 2005: 8: 99-105.
24. Borycki EM, Kushniruk A, Keay E, Nicoll J, Anderson J, Anderson M. Toward an integrated simulation approach for predicting and preventing technology-induced errors in healthcare: implications for healthcare decision-makers. Healthcare Quar-terly 2009; 12 (Sp): 90-96.
25. York University. Theories used in IS research: Sociotechnical theory. http://www.istheory.yorku.ca/so ciotechnical theory.htm [Accessed on 17-04-2011]
26. Mumford E. Redesigning human systems. IRM Press; 2003.
27. Berg M, Langenberg C, vd Berg I, Kwakkernaat J. Considerations for sociotechnical design: Experiences with an electronic patient record in a clinical context. International Journal of Medical Informatics 1998; 52(1-3): 243-251.
28. Aarts J, Doorewaard H, Berg MA. Understanding implementation: The case of a computerized physician order entry system in a large Dutch university medical center. JAMIA 2004; 11 (3): 207-216.
29. Kushniruk A, Beuscart-Zephir M-C, Grzes A, Borycki E, Watbled L, Kannry J. Increasing the safety of healthcare information systems through improved procurement: Toward a framework for selection of safe healthcare systems. Healthcare Quart 2010; 13: 53-58.
30. Borycki E, Keay E. Methods to assess the safety of health information systems. Healthcare Quart 2010; 13: 47-52.
31. Borycki EM, Kushniurk AW, Carvalho CJ, Kuo M-H. A systematic review of qualitative and quantitative methods using to identify and study technology-induced errors in computerized physician order entry (CPOE). Asia Pacific Association of Medical Informatics Conference, Nov 22-25, 2009.
32. Bloomrosen M, Starren J., Lorenzi, NM, Ash JS, Patel VL, Shortliffe EH. Anticiapting and addressing the unintended consequences of health IT and policy: A report from the AMIA 2009 health policy meeting. JAMIA 2011; 18: 82-90.
33. Gruding J. Groupware and social dynamics: Eight challenges for developers. Scientific American 1991; September: 762-774.
34. Kushniruk A, Borycki E, Kuwata S, Kannry J. Predicting changes in workflow resulting from healthcare information systems: Ensuring the safety of healthcare. Healthcare Quart 2006; 98-100, 102
35. Horsky J, Kaufman D, Oppenheim M, Patel V. Framework for analyzing the cognitive complexity of computer-assisted clinical ordering. Journal of Biomedical I nformatics,2003; 36: 4-22.
36. Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care-An interactive sociotechnical analysis. JAMIA 2007; 14: 542-549.
37. Leavitt HJ. Applied organizational change in industry: Structural, technological and humanistic approaches. In: March JG, editor. Handbook of Organisations. Chicago: Rand MacNally & Co; 1970.
38. Brender J. Handbook of Evaluation Methods for Health Informatics. New York: Academic Press; 2006.
39. van der Sijs H, van Gelder T, Vulto A, Berg M, Aarts J. Understanding handling of drug safety alerts: A simulation study. International Journal Medical Informatics 2010; 79 (5): 361-369.
40. Berg, M, Aarts, J., van der Lei, J. ICT in health care: Sociotechnical approaches 2003; 42; 297-301.