Integrated information visualization to support decision making for use of antibiotics in intensive care: design and usability evaluation

References

• Fish D, Ohlinger M. Antimicrobial resistance: factors and outcomes. Crit Care Clin 2006;22:291–311
   PubMedGoogle Scholar
• Giske C, Monnet D, Cars O, Carmeli Y. Clinical and economic impact of common multidrug-resistant gram-negative bacilli. Antimicrob Agents Chemother 2008;52:813–21
   PubMed Web of Science ®Google Scholar
• Cars O. Meeting the challenge of antibiotic resistance. BMJ 2008;337:726–8
   Google Scholar
• Sintchenko V, Coiera E, Gilbert G. Decision support systems for antibiotic prescribing. Curr Opin Infect Dis 2008;21:573–9
   PubMedGoogle Scholar
• Sintchenko V, Iredell J, Gilbert G, Coiera E. What do physicians think about evidence-based antibiotic use in critical care? A survey of Australian intensivists and infectious disease practitioners. Int Med J 2001;31:462–9
   Google Scholar
• Harbarth S, Samore M. Antimicrobial resistance determinants and future control. Emerg Infect Dis 2005;11:794–801
   PubMed Web of Science ®Google Scholar
• Clemmer TP. Computers in the ICU: where we started and where we are now. J Crit Care 2004;19:201–7
   PubMedGoogle Scholar
• Elson RB, Faughnan JG, Connelly DP. An industrial process view of information delivery to support clinical decision making: implications for systems design and process measures. J Am Med Inform Assoc 1997;4:266–78
   PubMedGoogle Scholar
• Thursky K. Use of computerized decision support systems to improve antibiotic prescribing. Expert Rev Anti Infect Ther 2006;4:491–507
   PubMedGoogle Scholar
• Sittig D, Wright A, Osheroff J, et al. Grand challenges in clinical decision support. J Biomed Inf 2008;41:387–92
   PubMed Web of Science ®Google Scholar
• Patel V, Kushniruk A. Interface design for health care environments: the role of cognitive science. Proc AMIA Symp 1998:29–37
   PubMedGoogle Scholar
• Maurer D. What is usability? 2004 [cited 2012 Oct 5]. Available from: http://www.steptwo.com.au/files/kmc_whatisusability.pdf
   Google Scholar
• Bundschuh BB, Majeed RW, Bürkle T, et al. Quality of human--computer interaction – results of a national usability survey of hospital-IT in Germany. BMC Med Inform Decis 2011;11:1–12
   PubMedGoogle Scholar
• Ash JS, Sittig DF, Guappone KP, et al. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study. BMC Med Inform Decis 2012;12:1–19
   PubMedGoogle Scholar
• Ozel D, Bilge U, Zayim N, Cengiz M. A web-based intensive care clinical decision support system: from design to evaluation. Inform Health Soc Care 2012;38:79--92
   Google Scholar
• Wright P, Jansen C, Wyatt JC. How to limit clinical errors in interpretation of data. Lancet 1998;352:1539–43
   PubMedGoogle Scholar
• Horn W. AI in medicine on its way from knowledge-intensive to data-intensive systems. Artif Intell Med 2001;23:5–12
   PubMedGoogle Scholar
• Khajouei R, Jaspers MWM. The impact of CPOE medication systems’ design aspects on usability, workflow and medication orders. Methods Inf Med [Review article] 2010;49:3–19
   PubMed Web of Science ®Google Scholar
• openEHR. [cited 2011 Jul 05]. Available from: www.openEHR.org
   Google Scholar
• Patton MQ. Fieldwork strategies and observation methods. Qualitative research and evaluation methods. 3rd ed. Thousand Oaks (CA): Sage Publications; 2002
   Google Scholar
• Malterud K. Analys av kvalitativa data. Kvalitativa metoder i medicinsk forskning. 1:7 ed. Lund: Studentlitteratur; 1998
   Google Scholar
• Graneheim U, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurs Educ Today 2004;24:105–12
   PubMed Web of Science ®Google Scholar
• JFreeChart [cited 2011 Jul 05]; Available from: http://www.jfree.org/jfreechart/
   Google Scholar
• ISO 9241-11. Ergonomic requirements for office work with visual display terminals, Part 11: guidance on usability. Geneva: International Organisation for Standardization; 1998
   Google Scholar
• Bangor A, Kortum P, Miller J. Determining what individual SUS scores mean: adding an adjective rating scale. JUS 2009;4:114–23
   Google Scholar
• Anani N, Chen R, Koch S. Exchanging data via openEHR for patient-specific overviews in intensive care: a case study. Short communication at MIE2011 – 23rd International Conference of the European Federation for Medical Informatics; 2011 August 28–31; Oslo, Norway
   Google Scholar
• Eghdam A, Forsman J, Falkenhav M, et al. Combining usability testing with eye-tracking technology: evaluation of a visualization support for antibiotic use in intensive care. Stud Health Technol Inform 2011;169:945–9
   PubMedGoogle Scholar
• Bevan N. Measuring usability as quality of use. Software Qual J 1995;4:115–30
   Web of Science ®Google Scholar
• Sauro J. Measuring Usability with the System Usability Scale (SUS). 2011 February 2 [2012 Mar 14]. Available from: http://www.measuringusability.com/sus.php
   Google Scholar
• Green C, Gilhooly K, Logie R, Ross D. Human factors and computerisation in intensive care units: a review. Int J Clin Monit Comput 1991;8:167–78
   PubMedGoogle Scholar
• Elson RB, Connelly DP. The impact of anticipatory patient data displays on physician decision making: a pilot study. AMIA 1997:233–7
   Google Scholar
• Zhang Y, Drews FA, Westenskow DR, et al. Effects of integrated graphical displays on situation awareness in anaesthesiology. Cogn Tech Work 2002;4:82–90
   Google Scholar
• Bade R, Schlechtweg S, Miksch S, eds. Connecting time-oriented data and information to a coherent interactive visualization. In: Proceedings of CHI 04, ACM Conference in Human Factors in Computing Systems. Vienna, Austria: ACM Press; 2004
   Google Scholar
• Miller A, Scheinkestel C, Steele C. The effects of clinical information presentation on physicians’ and nurses’ decision-making in ICUs. Appl Ergon 2009;40:753–61
   PubMedGoogle Scholar
• Koch S, Staggers N, Weir C, et al., eds. Integrated information displays for ICU nurses: field observations, display design, and display evaluation. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol. 54. San Francisco (CA): Sage; 2010:932--6
   Google Scholar
• Steurbaut K, Colpaert K, Gadeyne B, et al. COSARA: integrated service platform for infection survelliance and antibiotic management in the ICU. J Med Syst 2012;36:3765--75
   Google Scholar
• Chittaro L. Information visualization and its application to medicine. Artif Intell Med 2001;22:81–8
   PubMedGoogle Scholar
• Law AS, Freer Y, Hunter J, et al. A comparison of graphical and textual presentations of time series data to support medical decision making in the neonatal intensive care unit. J Clin Monit Comput 2005;19:183–94
   PubMedGoogle Scholar
• Speier C. The influence of information presentation formats on complex task decision-making performance. Int J Hum-Comput St 2006;64:1115–31
   Web of Science ®Google Scholar
• Workman M, Lesser MF, Kim J. An exploratory study of cognitive load in diagnosing patient conditions. Int J Qual Health C 2007;19:127–33
   PubMed Web of Science ®Google Scholar
• Hawley ST, Zikmund-Fisher B, Ubel P, et al. The impact of the format of graphical presentation on health-related knowledge and treatment choices. Patient Educ Couns 2008;73:448–55
   PubMed Web of Science ®Google Scholar
• Bauer DT, Guerlain S, Brown PJ. The design and evaluation of a graphical display for laboratory data. J Am Med Inform Assoc 2010;17:416–24
   PubMed Web of Science ®Google Scholar
• Kawamoto K, Houlihan C, Balas E, Lobach D. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 2005;330:765
   PubMed Web of Science ®Google Scholar
• Bruins MJ, Ruijs GJ, Wolfhagen MJ, et al. Does electronic clinical microbiology results reporting influence medical decision making: a pre- and post-interview study of medical specialists. BMC Med Inform Decis 2011;11:1–7
   PubMedGoogle Scholar
• Virzi RA. Refining the test phase of usability evaluation: how many subjects is enough? Hum Factors 1992;34:457–68
   Web of Science ®Google Scholar
• Nielsen J. Estimating the number of subjects needed for a thinking aloud test. Int J Hum-Comput St 1994;41:385–97
   Web of Science ®Google Scholar