Yearbook of Medical Informatics, Inhaltsverzeichnis Yearb Med Inform 2006; 15(01): 20-25DOI: 10.1055/s-0038-1638469 Survey Georg Thieme Verlag KG Stuttgart Section 1: Health and Clinical Mangement: The Safety and Quality of Decision Support Systems E. Coiera 1 Centre for Health Informatics, University of New South Wales, Australia , J. I. Westbrook 1 Centre for Health Informatics, University of New South Wales, Australia , J. C. Wyatt 2 Health Informatics Centre, University of Dundee, Dundee, Scotland › Institutsangaben Artikel empfehlen Abstract Volltext als PDF herunterladen Keywords KeywordsDecision support systems - safety - error - automation bias - electronic prescribing Referenzen References 1 Hunt D, Haynes B, Hanna S, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. J Am Med Assoc 1998; 280 (15) 1339-46. 2 Garg A, Adhikari N, McDonald H. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. A systematic review. J Am Med Assoc 2005; 293 (10) 1223-38. 3 Rind D, Safran C, Phillips R, Wang Q, Calkins D, Delbanco T. et al. Effect of computer-based alerts on the treatment and outcomes of hospitalised patients. Arch Intern Med 1994; 154: 1511-7. 4 Evans R, Pestotnik S, Classen D, Clemmer T, Weaver L, Orme J. et al. A computer-assisted management program for antibiotics and other anitinfective agents. N Engl J Med 1998; 338 (04) 232-8. 5 Protti D. The Application of Computer Technology in GP Surgeries is Beginning To Have Positive Effects on Chronic Disease Management. World View Reports. London: National Health Service; 2005. http://www.connectingforhealth.nhs.uk/worldview/protti6 6 Benson T. Why general practitioners use computers and hospital doctors do not: Part 1 incentives. Br Med J 2002; 325: 1086-9. 7 Eccles M, McColl E, Steen N, Rousseau N, Grimshaw J, Parkin D. et al. Effect of computerised evidence based guidelines on management of asthma and angina in primary care: cluster randomised controlled trial. Br Med J 2002; 325: 941-6. 8 Peters T, Montgomery AA, Fahey T. How accurately do primary health care professionals use cardiovascular risk tables in the management of hypertension?. Br J Gen Pract 1999; 49: 987-8. 9 Ash J, Gorman PN, Seshadri V, Hersh W. Computerized physician order entry in U.S. Hospitals: results of a 2002 survey. J Am Med Inform Assoc 2004; 11 (02) 95-9. 10 Westbrook J, Gosling AS, Coiera E. Do clinicians use online evidence to support patient care?. A study of 55,000 clinicians. J Am Med Inform Assoc 2004; 11 (02) 113-20. 11 Gosling A, Westbrook J, Coiera E. Variation in the use of online clinical evidence: a qualitative analysis. Int J Med Inform 2003; 69: 1-16. 12 Ash JS, Gorman PN, Lavelle M, Payne TH, Massaro TA, Frantz GL. et al. A cross-site qualitative study of physician order entry.[see comment]. J Am Med Inform Assoc 2003; 10 (02) 188-200. 13 Coiera E. Four rules for the reinvention of health care. BMJ 2004; 328 (7449): 1197-9. 14 Wear R, Berg M. Computer Technology and Clinical Work: Still Waiting for Godot. JAMA 2005; 293: 1261-3. 15 Nemeth C, Cook RI. Hiding in plain sight: What Koppel et al. tell us about healthcare IT. J Biomed Inform 2005; 38: 262-3. 16 Koppel R, Localio A, Cohen A, Strom BL. Neither panacea nor black box: Responding to three Journal of Biomedical Informatics papers on computerized physician order entry system. J Biomed Inform 2005; 38: 267-9. 17 Bates DW. Computerized physician order entry and medication errors: finding a balance. J Biomed Inform 2005; 38: 262-3. 18 Friedman C, Elstein A, Wolf F, Murphy G, Franz T, Heckerling P. et al. Enhancement of clinicians’ diagnostic reasoning by computer-based consultation: A multisite study of 2 systems. JAMA 1999; 282 (19) 1851-6. 19 Friedman C, Wyatt J. Evaluation methods in biomedical informatics. Second edition.. New York: Springer; 2005 20 Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma’Luf N. et al. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc 1999; 06 (04) 313-21. 21 Graber M. The safety of computer-based medication systems. Arch Intern Med 2004; 164 (03) 339-40. 22 Coombes ID, Stowasser DA, Mitchell CA, Varghese P. Effect of computerised prescribing on use of antibiotics. Med J Aust 2004; 180 (03) 140-1. 23 Bates DW, Cohen M, Leape L, Overhage JM, Shabot M, Sheridan T. Reducing the frequency of errors in medicine using information technology. J Am Med Inform Assoc 2001; 08 (04) 299-308. 24 Ash J, Berg M, Coiera E. Some unintended consequences of information technology in health care: The nature of patient care information systems related errors. JAm Med Inform Assoc 2004; 11 (02) 104-12. 25 US Pharmacopiea. MEDMARX: 5th Anniversary Data Report: A Chartbook of 2003 Findings and Trends 1999-2003. 2005 26 Koppel R, Metlay J, Cohen A, Abaluck B, Localio A, Kimmel S. et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005; 293 (10) 1197-203. 27 Reason J. Human error. Cambridge: Cambridge University Press; 1990 28 Fernando B, Savelyich BS, Avery AJ, Sheikh A, Bainbridge M, Horsfield P. et al. Prescribing safety features of general practice computer systems: evaluation using simulated test cases. BMJ 2004; 328 (7449): 1171-2. 29 Liaw S, Kerr S. Computer aided prescribing: decision support needs to be evidence based. Br Med J 2004; 328: 1566. 30 Coiera E. Guide to Health Informatics. 2nd Edition ed.. London: Hodder Arnold; 2003 31 Skitka L. Does automation bias decision-making?. Int J Hum Comput Stud 1999; 51: 991-1006. 32 Wickens C, Hollands J. Engineering Psychology and Human Performance. New Jersey: Prentice Hall; 2000 33 Skitka L, Mosier K, Burdick M, Rosenblatt B. Automation bias and errors: are crews better than individuals. Int J Aviat Psychol 2000; 10 (01) 85-97. 34 Smith A, Mort M, Goodwin D, Pope C. Making monitoring ‘work’: human-machine interaction and patient safety in anaesthesia. Anaesthesia 2003; 58 (11) 1070. 35 Koski E, MkivirtaA SukuvaaraT, Kari A. Frequency and reliability of alarms in the monitoring of cardiac postoperative patients. J Clin Monit Comput 1990; 07 (07) 129-33. 36 Lawless S. Crying wolf: false alarms in a pediatric intensive care unit. Crit Care Med 1994; 22 (06) 981-5. 37 Galanter WL, Polikaitis A, DiDomenico RJ. A trial of automated safety alerts for inpatient digoxin use with computerized physician order entry. JAm Med Inform Assoc 2004; 11 (04) 270-7. 38 Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med 2003; 163 (21) 2625-31. 39 Hsieh T, Kuperman GJ, Jaggi T, Hojnowski-Diaz P, Fiskio J, Williams D. et al. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc 2004; 11 (06) 482-91. 40 Friedman C, Elstein A, Wolf F, Murphy G, Franz T, Heckerling P. et al. Enhancement of clinicians’ diagnostic reasoning by computer-based consultation: A multisite study of 2 systems. JAMA 1999; 282 (19) 1851-6. 41 Westbrook J, Coiera E, Gosling AS. Do online information retrieval systems help experienced clinicians answer clinical questions?. J Am Med Inform Assoc 2005; 12 (03) 315-21. 42 Lau A, Coiera E. A Bayesian model that predicts the impact of Web searching on decision-making. Journal of American Society of Information Science and Technology. In press 2006 43 Open Clinical. Quality and safety of clinical decision support systems a draft protocol for discussion, Open clinical green paper. 2002 http:// www.openclinical.org/docs/int/docs/qands011.pdf 44 Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC. et al. Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics 2005; Dec; 116 (06) 1506-12.