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Yearb Med Inform 2011; 20(01): 58-62
DOI: 10.1055/s-0038-1638739
DOI: 10.1055/s-0038-1638739
Synopsis
A Biomedical Informatics Perspective on Human Factors - How Human Factors Influence Information Technology Adoption
I acknowledge the support of Martina Hutter and the reviewers in the selection process of this section.
Further Information
Correspondence to
Dr. Rodolphe Meyer, MD, PhD
University Hospitals of Geneva
Department of Medico Economic Analysis Geneva
Switzerland
Phone: +41 22 372 62 85
Fax: +41 79 676 24 45
Email: rodolphe.meyer@hcuge.ch
Publication History
Publication Date:
06 March 2018 (online)
Summary
Objectives
to select and summarize excellent research published in 2010 in the field of bio-medical informatics human factors.
Methods
we attempt to derive a synthetic overview of the activity and new trends in this field, from a selection of worldwide research papers published during 2010.
Results
this year again, healthcare information technology (HIT) adoption occupies a central role in the field and leads to research focused mainly on measuring impact and factors influencing it. One of the selected papers especially dissects the anatomy of a nationwide personal electronic health record adoption failure.
Conclusions
Due to the vast and increasing amount of excellent works, choosing the best papers in human factors is a challenge. More and more the published work takes into account fundamental principles expressed in Grudin’s Laws, one form of which is: “When those who beneût from a technology are not those who do the work, then the technology is likely to fail or be subverted.”.
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Keywords
Medical informatics - International Medical Informatics Association - yearbook - human factors
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References
- 1 Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc 2005; 12 (01) 8-12.
- 2 Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM. et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA 1998; 280: 1311-16.
- 3 Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E. et al. Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; 144: 742-52.
- 4 Devine EB, Hansen RN, Wilson-Norton JL, Law-less NM, Fisk AW, Blough DK. et al. The impact of computerized provider order entry on medication errors in a multispecialty group practice. J Am Med Inform Assoc 2010; 17: 78-84.
- 5 King WJ, Paice N, Rangrej J, Forestell GJ, Swartz R. The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients. Pediatrics 2003; 112: 506-9.
- 6 Mekhjian HS, Kumar RR, Kuehn L, Bentley TD, Teater P, Thomas A. et al. Immediate benefits realized following implementation of physician order entry at an academic medical center. J Am Med Inform Assoc 2002; 09: 529-39.
- 7 Poon EG, Keohane CA, Yoon CS, Ditmore M, Bane A, Levtzion-Korach O. et al. Effect of barcode technology on the safety of medication administration. N Engl J Med 2010; 362: 1698-707.
- 8 Teich JM. et al. Effects of computerized physician order entry on prescribing practices. Arch Intern Med 2000; 160 (18) 2741-7.
- 9 DesRoches CM, Campbell EG, Rao SR, Donelan K, Ferris TG, Jha A. et al. Electronic health records in ambulatory care, a national survey of physicians. N Engl J Med 2008; 359: 50-60.
- 10 Furukawa MF, Raghu TS, Spaulding TJ, Vinze A. Adoption of health information technology for medication safety in U.S. Hospitals, 2006. Health Aff (Millwood) 2008; 27: 865-75.
- 11 Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG. et al. Use of electronic health records in U.S. hospitals. N Engl J Med 2009; 360: 1628-38.
- 12 Pedersen CA, Gumpper KF. ASHP national survey on informatics: Assessment of the adoption and use of pharmacy informatics in US hospitals- 2007. Am J Health Syst Pharm 2008; 65: 2244-64.
- 13 Meyer R, Degoulet P. Choosing the right amount of healthcare information technologies investments. Int J Med Inform 2010; Apr; 79 (04) 225-31 doi:10.1016/j.ijmedinf.2010.01.001.
- 14 Linder JA, Ma J, Bates DW, Middleton B, Stafford RS. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med 2007; 167: 1400-5.
- 15 Zhou L, Soran CS, Jenter CA, Volk LA, Orav EJ, Bates DW. et al. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc 2009; 16: 457-64.
- 16 Stead WW, Lin HS. editors. Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. Washington DC: National Academies Press; 2009
- 17 US Department of Health and Human Services. Final rule on meaningful use. http:/edocket. access.gpo.gov/2010/pdf/2010-17207.pdf (accessed april 2011)
- 18 Ash JS, Sittig DF, Dykstra R, Campbell E, Guappone K. The unintended consequences of computerized provider order entry: Findings from a mixed methods exploration. Int J Med Inform 2009; 78 (Suppl. 01) S69-76.
- 19 Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE. et al. Role of computerized physician order entry systems in facilitating medication errors. J Am Med Inform Assoc 2005; 293: 1197-203.
- 20 Koppel R, Wetterneck T, Telles JL, Karsh BT. Workarounds to barcode medication administration systems: occurrences, causes and threats to patient safety. J Am Med Inform Assoc 2008; 15: 408-28.
- 21 Nebeker JR, Hoffman JM, Weir CR, Bennett CL, Hurdle JF. High rates of adverse drug events in a highly computerized hospital. Arch Intern Med 205; 165: 1111-16.
- 22 Peute LW, Aarts J, Bakker PJ, Jaspers MW. Anatomy of a failure: A sociotechnical evaluation of a laboratory physician order entry system implementation. Int J Med Inform 2010; Apr; 79 (04) e58-70.
- 23 Wears RL, Cook RI, Perry SJ. Automation, interaction, complexity, and failure: A case study. Reliability Engineering & System Safety 2006; 91: 1494-501.
- 24 Magrabi F, Ong MS, Runciman W, Coiera E. An analysis of computer-related patient safety incidents to inform the development of a classification. J Am Med Inform Assoc 2010; 17: 663-70.
- 25 Palm JM, Dart T, Dupuis I, Leneveut L, Degoulet P. Clinical Information System Post-Adoption Evaluation at the Georges Pompidou University Hospital. AMIA 2010 Symposium Proceedings 582-6.
- 26 Greenhalgh T, Hinder S, Stramer K, Bratan T, Russell J. Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace. BMJ 2010; 341: c5814.
- 27 Zheng K, Padman R, Krackhardt D, Johnson MP, Diamond HS. Social networks and physician adoption of electronic health records: insights from an empirical study. J Am Med Inform Assoc 2010; 17: 328-36.
- 28 Karsh BT, Weinger MB, Abbott PA, Wears RL. Health information technology: fallacies and sober realities. J Am Med Inform Assoc 2010; 17: 617-23.
- 29 Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quart 2003; 27: 425e78.
- 30 Homans GC. The human group. New York: Harcourt Brace; 1950
- 31 Andre AD, Wickens CD. When users want what’s not best for them. Ergon Des 1995; 10-4.
- 32 Diaper D, Stanton N. editors. The Handbook of Task Analysis for Human-Computer Interaction. Mahwah, NJ: CRC Press, Lawrence Erlbaum Associates; 2003
- 33 Meyer R. A Bio-Medical Informatics Perspective on Human Factors. Findings from the Yearbook 2009 Section on Human Factors. Yearb Med Inform 2010; 106-9.
- 34 US Department of Health and Human Services. Strategic Health IT Advanced Research Projects (SHARP) Program. http://healthit.hhs.gov/ (accessed in May 2011)
Correspondence to
Dr. Rodolphe Meyer, MD, PhD
University Hospitals of Geneva
Department of Medico Economic Analysis Geneva
Switzerland
Phone: +41 22 372 62 85
Fax: +41 79 676 24 45
Email: rodolphe.meyer@hcuge.ch
-
References
- 1 Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc 2005; 12 (01) 8-12.
- 2 Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM. et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA 1998; 280: 1311-16.
- 3 Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E. et al. Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; 144: 742-52.
- 4 Devine EB, Hansen RN, Wilson-Norton JL, Law-less NM, Fisk AW, Blough DK. et al. The impact of computerized provider order entry on medication errors in a multispecialty group practice. J Am Med Inform Assoc 2010; 17: 78-84.
- 5 King WJ, Paice N, Rangrej J, Forestell GJ, Swartz R. The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients. Pediatrics 2003; 112: 506-9.
- 6 Mekhjian HS, Kumar RR, Kuehn L, Bentley TD, Teater P, Thomas A. et al. Immediate benefits realized following implementation of physician order entry at an academic medical center. J Am Med Inform Assoc 2002; 09: 529-39.
- 7 Poon EG, Keohane CA, Yoon CS, Ditmore M, Bane A, Levtzion-Korach O. et al. Effect of barcode technology on the safety of medication administration. N Engl J Med 2010; 362: 1698-707.
- 8 Teich JM. et al. Effects of computerized physician order entry on prescribing practices. Arch Intern Med 2000; 160 (18) 2741-7.
- 9 DesRoches CM, Campbell EG, Rao SR, Donelan K, Ferris TG, Jha A. et al. Electronic health records in ambulatory care, a national survey of physicians. N Engl J Med 2008; 359: 50-60.
- 10 Furukawa MF, Raghu TS, Spaulding TJ, Vinze A. Adoption of health information technology for medication safety in U.S. Hospitals, 2006. Health Aff (Millwood) 2008; 27: 865-75.
- 11 Jha AK, DesRoches CM, Campbell EG, Donelan K, Rao SR, Ferris TG. et al. Use of electronic health records in U.S. hospitals. N Engl J Med 2009; 360: 1628-38.
- 12 Pedersen CA, Gumpper KF. ASHP national survey on informatics: Assessment of the adoption and use of pharmacy informatics in US hospitals- 2007. Am J Health Syst Pharm 2008; 65: 2244-64.
- 13 Meyer R, Degoulet P. Choosing the right amount of healthcare information technologies investments. Int J Med Inform 2010; Apr; 79 (04) 225-31 doi:10.1016/j.ijmedinf.2010.01.001.
- 14 Linder JA, Ma J, Bates DW, Middleton B, Stafford RS. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med 2007; 167: 1400-5.
- 15 Zhou L, Soran CS, Jenter CA, Volk LA, Orav EJ, Bates DW. et al. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc 2009; 16: 457-64.
- 16 Stead WW, Lin HS. editors. Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. Washington DC: National Academies Press; 2009
- 17 US Department of Health and Human Services. Final rule on meaningful use. http:/edocket. access.gpo.gov/2010/pdf/2010-17207.pdf (accessed april 2011)
- 18 Ash JS, Sittig DF, Dykstra R, Campbell E, Guappone K. The unintended consequences of computerized provider order entry: Findings from a mixed methods exploration. Int J Med Inform 2009; 78 (Suppl. 01) S69-76.
- 19 Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE. et al. Role of computerized physician order entry systems in facilitating medication errors. J Am Med Inform Assoc 2005; 293: 1197-203.
- 20 Koppel R, Wetterneck T, Telles JL, Karsh BT. Workarounds to barcode medication administration systems: occurrences, causes and threats to patient safety. J Am Med Inform Assoc 2008; 15: 408-28.
- 21 Nebeker JR, Hoffman JM, Weir CR, Bennett CL, Hurdle JF. High rates of adverse drug events in a highly computerized hospital. Arch Intern Med 205; 165: 1111-16.
- 22 Peute LW, Aarts J, Bakker PJ, Jaspers MW. Anatomy of a failure: A sociotechnical evaluation of a laboratory physician order entry system implementation. Int J Med Inform 2010; Apr; 79 (04) e58-70.
- 23 Wears RL, Cook RI, Perry SJ. Automation, interaction, complexity, and failure: A case study. Reliability Engineering & System Safety 2006; 91: 1494-501.
- 24 Magrabi F, Ong MS, Runciman W, Coiera E. An analysis of computer-related patient safety incidents to inform the development of a classification. J Am Med Inform Assoc 2010; 17: 663-70.
- 25 Palm JM, Dart T, Dupuis I, Leneveut L, Degoulet P. Clinical Information System Post-Adoption Evaluation at the Georges Pompidou University Hospital. AMIA 2010 Symposium Proceedings 582-6.
- 26 Greenhalgh T, Hinder S, Stramer K, Bratan T, Russell J. Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace. BMJ 2010; 341: c5814.
- 27 Zheng K, Padman R, Krackhardt D, Johnson MP, Diamond HS. Social networks and physician adoption of electronic health records: insights from an empirical study. J Am Med Inform Assoc 2010; 17: 328-36.
- 28 Karsh BT, Weinger MB, Abbott PA, Wears RL. Health information technology: fallacies and sober realities. J Am Med Inform Assoc 2010; 17: 617-23.
- 29 Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quart 2003; 27: 425e78.
- 30 Homans GC. The human group. New York: Harcourt Brace; 1950
- 31 Andre AD, Wickens CD. When users want what’s not best for them. Ergon Des 1995; 10-4.
- 32 Diaper D, Stanton N. editors. The Handbook of Task Analysis for Human-Computer Interaction. Mahwah, NJ: CRC Press, Lawrence Erlbaum Associates; 2003
- 33 Meyer R. A Bio-Medical Informatics Perspective on Human Factors. Findings from the Yearbook 2009 Section on Human Factors. Yearb Med Inform 2010; 106-9.
- 34 US Department of Health and Human Services. Strategic Health IT Advanced Research Projects (SHARP) Program. http://healthit.hhs.gov/ (accessed in May 2011)