The safety and quality of decision support systems.

作者: J. I. Westbrook , J. C. Wyatt , E. Coiera

DOI:

关键词:

摘要: Objectives: The use of clinical decision support systems (CDSS) can improve the overall safety and quality health care delivery, but may also introduce machine-related errors. Recent concerns about potential for CDSS to harm patients have generated much debate, there is little research available identify nature such errors, or quantify their frequency impact. Methods: A review recent literature into electronic prescribing systems, as well related in support. Results:: : There seems be some evidence variation outcomes using CDSS, most likely reflecting variations setting, culture, training organizational process, independent technical variables. preliminary that poorly implemented lead increased mortality settings. Studies US, UK Australia found commercial often fail uniformly detect significant drug interactions, probably because errors knowledge base. Electronic medication management generate new types error user-interface design, events workplace distraction affecting actions system users. Another source influenced are automation biases, including omission where individuals miss important data does not prompt them notice them, commission do what aid tells do, even when this contradicts other data. Errors dismissal occur relevant alerts ignored. On-line result clinicians come an incorrect assessment evidence, possibly shaped part by cognitive biases. Conclusions:: effectiveness like all IT, cannot assessed purely evaluating usability performance software, outcome a complex set socio-technical interactions. deeper understanding these issues design which just intrinsically ‘safe’ safe hands busy resourced clinicians. Haux R, Kulikowski C, editors. IMIA Yearbook Medical Informatics 2006. Methods Inf Med 2006; 45 Suppl 1: S20-5.

参考文章(38)
Ian D Coombes, Danielle A Stowasser, Charles A Mitchell, Paul Varghese, Effect of computerised prescribing on use of antibiotics. The Medical Journal of Australia. ,vol. 180, pp. 140- 141 ,(2004) , 10.5694/J.1326-5377.2004.TB05842.X
Tom Fahey, Alan A Montgomery, Tim J Peters, How accurately do primary health care professionals use cardiovascular risk tables in the management of hypertension British Journal of General Practice. ,vol. 49, pp. 987- 988 ,(1999)
Tyken C. Hsieh, Gilad J. Kuperman, Tonushree Jaggi, Patricia Hojnowski-Diaz, Julie Fiskio, Deborah H. Williams, David W. Bates, Tejal K. Gandhi, Characteristics and Consequences of Drug Allergy Alert Overrides in a Computerized Physician Order Entry System Journal of the American Medical Informatics Association. ,vol. 11, pp. 482- 491 ,(2004) , 10.1197/JAMIA.M1556
Enrico Coiera, Guide to Health Informatics ,(2003)
Christopher D. Wickens, Justin G. Hollands, Simon Banbury, Raja Parasuraman, Engineering Psychology and Human Performance ,(1984)
A. F. Smith, M. Mort, D. Goodwin, C. Pope, Making monitoring ‘work’: human-machine interaction and patient safety in anaesthesia Anaesthesia. ,vol. 58, pp. 1070- 1078 ,(2003) , 10.1046/J.1365-2044.2003.03404.X
Joan S Ash, Marc Berg, Enrico Coiera, Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors Journal of the American Medical Informatics Association. ,vol. 11, pp. 104- 112 ,(2003) , 10.1197/JAMIA.M1471
William L Galanter, Audrius Polikaitis, Robert J DiDomenico, A Trial of Automated Safety Alerts for Inpatient Digoxin Use with Computerized Physician Order Entry Journal of the American Medical Informatics Association. ,vol. 11, pp. 270- 277 ,(2004) , 10.1197/JAMIA.M1500
Erkki M. J. Koski, Aki Mäkivirta, Tommi Sukuvaara, Aarnc Kari, Frequency and reliability of alarms in the monitoring of cardiac postoperative patients Journal of Clinical Monitoring and Computing. ,vol. 7, pp. 129- 133 ,(1990) , 10.1007/BF01724206
Enrico Coiera, Four rules for the reinvention of health care BMJ. ,vol. 328, pp. 1197- 1199 ,(2004) , 10.1136/BMJ.328.7449.1197