Yearb Med Inform 2009; 18(01): 59-62
DOI: 10.1055/s-0038-1638639
Original Article
Georg Thieme Verlag KG Stuttgart

A Bio-medical Informatics Perspective on Human Factors

Understanding Human Factors Influence in HIT-enabled Institutions
R. Meyer
1   Department of imaging and medical informatics, Geneva University Hospitals, Geneva, Switzerland
,
Section Editor for the IMIA Yearbook Section on Human Factors › Author Affiliations
Further Information

Correspondence to:

Dr. Rodolphe Meyer
University Hospitals of Geneva
Division of Medical Informatics Geneva
Switzerland
Phone: +41 22 305 58 95   
Fax: +41 79 676 24 45   

Publication History

Publication Date:
07 March 2018 (online)

 

Summary

Objectives To summarize current excellent research in the field of bio-medical informatics human factors.

Methods We provide a synopsis of the articles selected for the IMIA yearbook 2009, from which we attempt to derive a synthetic overview of the activity and new trends in the field. A special attention was made to pick papers also from non bio-medical informatics special ized journals and to perform a worldwide selection.

Results while the state of the research in the field of human factors is illustrated by a set of fairly heterogeneous studies, it is possible to identify trends. Thus, clearly, the importance of issues related to healthcare information technologies (HIT) adoption, still occupies a central role in the field.

Conclusions Convincing the clinicians of the HIT potential gains is still a challenge. But the HIT community will also have to give birth to interdisciplinary research and clear methods to optimize imple mentations and subsequent achievement of managerial objectives. The best paper selection of articles on human factors shows ex amples of excellent research on methods concerning original options to once again assess the importance of HIT and take into account the healthcare personnel psychology when confronted to the adop tion of new tools and processes.


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  • References

  • 1 Dick RS, Steen EB. The Computer-Based Patient Record: An Essential Technology for Health Care, Revised Edition. Washington, DC: National Academies Press; 1991
  • 2 Dick RS, Steen EB, Detmer DE. The Computer Based Patient Record: An Essential Technology for Health Care, Revised Edition. Washington, DC: National Academies Press; 1997
  • 3 Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM. et al. Effect of computerized physi cian order entry and a team intervention on preven tion of serious medication errors. JAMA 1998; 280 (15) 1311-6.
  • 4 Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma’Luf N. et al. The impact of computerized phy sician order entry on medication error prevention. J Am Med Inform Assoc 1999; 06 (04) 313-21.
  • 5 Teich JM, Merchia PR, Schmiz JL, Kuperman GJ, Spurr CD, Bates DW. et al. Effects of computerized physician order entry on prescribing practices. Arch Intern Med 2000; 160 (18) 2741-7.
  • 6 Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI dis cussion. J Am Med Inform Assoc 2005; 12 (01) 8-12.
  • 7 eHealth Initiative. Electronic prescribing: Toward maximum value and rapid adoption. Washington, DC: eHealth Initiative; 2004
  • 8 Schade CP, Sullivan FM, de Lusignan S, Madeley J. e-Prescribing, ef?ciency, quality: lessons from the computerization of UK family practice. J Am Med Inform Assoc 2006; 13 (05) 470-5.
  • 9 Gans D, Kralewski J, Hammons T, Dowd B. Medi cal groups’ adoption of electronic health records and information systems. Practices are encounter ing greater-than-expected barriers to adopting an EHR system, but the adoption rate continues to rise. Millwood: s.n., Health Aff 2005; 24 (05) 1323-33.
  • 10 Burt CW, Hing E, Woodwell D. Electronic medical record use by office-based physicians. s.l. United States: National Center for Health Statistics; 2005
  • 11 Poon EG, Blumenthal D, Jaggi T, Honour MM, Bates DW, Kaushal R. Overcoming barriers to adopt ing and implementing computerized physician or der entry systems in U.S. hospitals. Health Aff 2004; 23 (04) 184-90.
  • 12 Halamka J, Aranow M, Ascenzo C, Bates DW, Berry K, Debor G. et al. E-Prescribing collaboration in Massachusetts: early experiences from regional pre scribing projects. J Am Med Inform Assoc 2006; 13 (03) 239-44.
  • 13 Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE. et al. Role of computerized phy sician order entry systems in facilitating medica tion errors. JAMA 2005; 293 (10) 1197-203.
  • 14 Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC. et al. Unexpected in creased mortality after implementation of a com mercially sold computerized physician order entry system. Pediatrics 2005; 116 (06) 1506-12.
  • 15 Middleton B, Hammond WE, Brennan PF, Cooper GF. Accelerating U.S. EHR adoption: how to get there from here. Recommendations based on the 2004 ACMI retreat. J Am Med Inform Assoc 2005; 12 (01) 13-9.
  • 16 Nebeker JR, Hoffman JM, Weir CR. High rates of adverse drug events in a highly computerized hospital. Arch Intern Med 2005; 165 (10) 1111-6.
  • 17 Hollingworth W, Devine EB, Hansen RN, Lawless NM, Comstock BA, Wilson-Norton JL. et al. The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study. J Am Med Inform Assoc 2007; 14: 722-30.
  • 18 Tierney WM, Miller ME, Overhage JM, McDonald CJ. Physician inpatient order writing on micro computer workstations. Effects on resource utilization. JAMA 1993; 269 (03) 379-83.
  • 19 Bates DW, Boyle DL, Teich JM. Impact of comput erized physician order entry on physician time. Proc Annu Symp Comput Appl Med Care 1994; 996.
  • 20 Shu K, Boyle D, Spurr C, Horsky J, Heiman H. O’Connor et al. Comparison of time spent writing orders on paper with computerized physician order entry. Medinfo 2001; 10 (Pt 2): 1207-11.
  • 21 Overhage JM, Perkins S, Tierney WM, McDonald CJ. Controlled trial of direct physician order entry: effects on physicians’ time utilization in ambula tory primary care internal medicine practices. J Am Med Inform Assoc 2001; (04) 361-71.
  • 22 Pizziferri L, Kittler AF, Volk LA, Honour MM, Gupta S, Wang S. et al. Primary care physician time utilization before and after implementation of an electronic health record: a time-motion study. J Biomed Inform 2005; 38 (03) 176-88.
  • 23 Bosman RJ. Impact of computerized information systems on workload in operating room and inten sive care unit. Best Pract Res Clin Anaesthesiol 2009; 23: 15-26.
  • 24 Mador RL, Shaw NT. The impact of a Critical Care Information System (CCIS) on time spent charting and in direct patient care by staff in the ICU:A review of the literature. Int J Med Inform. 2009 In press.
  • 25 Ruch P. A Bio-Medical Informatics Perspective on Human Factors. Findings from the Yearbook 2008 Section on Human Factors. Methods Inf Med 2008; 47 (Suppl. 01) 41-3.
  • 26 Lorenzi NM, Novak LL, Weiss JB, Gadd CS, Unertl KM. Crossing the Implementation Chasm: A Pro posal for Bold Action. J Am Med Inform Assoc 2008; 15: 290-6.
  • 27 Blumenthal D. Stimulating the Adoption of Health Information Technology. N Engl J Med 2009; 360 (15) 1047-9.

Correspondence to:

Dr. Rodolphe Meyer
University Hospitals of Geneva
Division of Medical Informatics Geneva
Switzerland
Phone: +41 22 305 58 95   
Fax: +41 79 676 24 45   

  • References

  • 1 Dick RS, Steen EB. The Computer-Based Patient Record: An Essential Technology for Health Care, Revised Edition. Washington, DC: National Academies Press; 1991
  • 2 Dick RS, Steen EB, Detmer DE. The Computer Based Patient Record: An Essential Technology for Health Care, Revised Edition. Washington, DC: National Academies Press; 1997
  • 3 Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM. et al. Effect of computerized physi cian order entry and a team intervention on preven tion of serious medication errors. JAMA 1998; 280 (15) 1311-6.
  • 4 Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma’Luf N. et al. The impact of computerized phy sician order entry on medication error prevention. J Am Med Inform Assoc 1999; 06 (04) 313-21.
  • 5 Teich JM, Merchia PR, Schmiz JL, Kuperman GJ, Spurr CD, Bates DW. et al. Effects of computerized physician order entry on prescribing practices. Arch Intern Med 2000; 160 (18) 2741-7.
  • 6 Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI dis cussion. J Am Med Inform Assoc 2005; 12 (01) 8-12.
  • 7 eHealth Initiative. Electronic prescribing: Toward maximum value and rapid adoption. Washington, DC: eHealth Initiative; 2004
  • 8 Schade CP, Sullivan FM, de Lusignan S, Madeley J. e-Prescribing, ef?ciency, quality: lessons from the computerization of UK family practice. J Am Med Inform Assoc 2006; 13 (05) 470-5.
  • 9 Gans D, Kralewski J, Hammons T, Dowd B. Medi cal groups’ adoption of electronic health records and information systems. Practices are encounter ing greater-than-expected barriers to adopting an EHR system, but the adoption rate continues to rise. Millwood: s.n., Health Aff 2005; 24 (05) 1323-33.
  • 10 Burt CW, Hing E, Woodwell D. Electronic medical record use by office-based physicians. s.l. United States: National Center for Health Statistics; 2005
  • 11 Poon EG, Blumenthal D, Jaggi T, Honour MM, Bates DW, Kaushal R. Overcoming barriers to adopt ing and implementing computerized physician or der entry systems in U.S. hospitals. Health Aff 2004; 23 (04) 184-90.
  • 12 Halamka J, Aranow M, Ascenzo C, Bates DW, Berry K, Debor G. et al. E-Prescribing collaboration in Massachusetts: early experiences from regional pre scribing projects. J Am Med Inform Assoc 2006; 13 (03) 239-44.
  • 13 Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE. et al. Role of computerized phy sician order entry systems in facilitating medica tion errors. JAMA 2005; 293 (10) 1197-203.
  • 14 Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC. et al. Unexpected in creased mortality after implementation of a com mercially sold computerized physician order entry system. Pediatrics 2005; 116 (06) 1506-12.
  • 15 Middleton B, Hammond WE, Brennan PF, Cooper GF. Accelerating U.S. EHR adoption: how to get there from here. Recommendations based on the 2004 ACMI retreat. J Am Med Inform Assoc 2005; 12 (01) 13-9.
  • 16 Nebeker JR, Hoffman JM, Weir CR. High rates of adverse drug events in a highly computerized hospital. Arch Intern Med 2005; 165 (10) 1111-6.
  • 17 Hollingworth W, Devine EB, Hansen RN, Lawless NM, Comstock BA, Wilson-Norton JL. et al. The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study. J Am Med Inform Assoc 2007; 14: 722-30.
  • 18 Tierney WM, Miller ME, Overhage JM, McDonald CJ. Physician inpatient order writing on micro computer workstations. Effects on resource utilization. JAMA 1993; 269 (03) 379-83.
  • 19 Bates DW, Boyle DL, Teich JM. Impact of comput erized physician order entry on physician time. Proc Annu Symp Comput Appl Med Care 1994; 996.
  • 20 Shu K, Boyle D, Spurr C, Horsky J, Heiman H. O’Connor et al. Comparison of time spent writing orders on paper with computerized physician order entry. Medinfo 2001; 10 (Pt 2): 1207-11.
  • 21 Overhage JM, Perkins S, Tierney WM, McDonald CJ. Controlled trial of direct physician order entry: effects on physicians’ time utilization in ambula tory primary care internal medicine practices. J Am Med Inform Assoc 2001; (04) 361-71.
  • 22 Pizziferri L, Kittler AF, Volk LA, Honour MM, Gupta S, Wang S. et al. Primary care physician time utilization before and after implementation of an electronic health record: a time-motion study. J Biomed Inform 2005; 38 (03) 176-88.
  • 23 Bosman RJ. Impact of computerized information systems on workload in operating room and inten sive care unit. Best Pract Res Clin Anaesthesiol 2009; 23: 15-26.
  • 24 Mador RL, Shaw NT. The impact of a Critical Care Information System (CCIS) on time spent charting and in direct patient care by staff in the ICU:A review of the literature. Int J Med Inform. 2009 In press.
  • 25 Ruch P. A Bio-Medical Informatics Perspective on Human Factors. Findings from the Yearbook 2008 Section on Human Factors. Methods Inf Med 2008; 47 (Suppl. 01) 41-3.
  • 26 Lorenzi NM, Novak LL, Weiss JB, Gadd CS, Unertl KM. Crossing the Implementation Chasm: A Pro posal for Bold Action. J Am Med Inform Assoc 2008; 15: 290-6.
  • 27 Blumenthal D. Stimulating the Adoption of Health Information Technology. N Engl J Med 2009; 360 (15) 1047-9.