The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals

被引:81
作者
Westbrook, Johanna I. [1 ]
Baysari, Melissa T. [2 ]
Li, Ling [1 ]
Burke, Rosemary [3 ]
Richardson, Katrina L. [4 ]
Day, Richard O. [5 ,6 ]
机构
[1] Univ New S Wales, Australian Inst Hlth Innovat, Ctr Hlth Syst & Safety Res, Fac Med, Sydney, NSW 2052, Australia
[2] Univ New S Wales, Australian Inst Hlth Innovat, Fac Med, Sydney, NSW 2052, Australia
[3] Concord Repatriat Gen Hosp, Dept Pharm, Sydney, NSW, Australia
[4] St Vincents Hosp, Dept Pharm, Sydney, NSW 2010, Australia
[5] St Vincents Hosp, Dept Clin Pharmacol & Toxicol, Sydney, NSW 2010, Australia
[6] Univ New S Wales, Fac Med, Sydney, NSW 2052, Australia
基金
英国医学研究理事会;
关键词
CPOE; Prescribing errors; Unintended consequences; Information technology; Clinical information systems; PHYSICIAN ORDER ENTRY; UNINTENDED CONSEQUENCES; INFORMATION-TECHNOLOGY; PRESCRIPTION ERRORS; MEDICATION ERRORS;
D O I
10.1136/amiajnl-2013-001745
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objectives To compare the manifestations, mechanisms, and rates of system-related errors associated with two electronic prescribing systems (e-PS). To determine if the rate of system-related prescribing errors is greater than the rate of errors prevented. Methods Audit of 629 inpatient admissions at two hospitals in Sydney, Australia using the CSC MedChart and Cerner Millennium e-PS. System related errors were classified by manifestation (eg, wrong dose), mechanism, and severity. A mechanism typology comprised errors made: selecting items from drop-down menus; constructing orders; editing orders; or failing to complete new e-PS tasks. Proportions and rates of errors by manifestation, mechanism, and e-PS were calculated. Results 42.4% (n=493) of 1164 prescribing errors were system-related (78/100 admissions). This result did not differ by e-PS (MedChart 42.6% (95% CI 39.1 to 46.1); Cerner 41.9% (37.1 to 46.8)). For 13.4% (n=66) of system-related errors there was evidence that the error was detected prior to study audit. 27.4% (n=135) of system-related errors manifested as timing errors and 22.5% (n=111) wrong drug strength errors. Selection errors accounted for 43.4% (34.2/100 admissions), editing errors 21.1% (16.5/100 admissions), and failure to complete new e-PS tasks 32.0% (32.0/100 admissions). MedChart generated more selection errors (OR=4.17; p=0.00002) but fewer new task failures (OR=0.37; p=0.003) relative to the Cerner e-PS. The two systems prevented significantly more errors than they generated (220/100 admissions (95% CI 180 to 261) vs 78 (95% CI 66 to 91)). Conclusions System-related errors are frequent, yet few are detected. e-PS require new tasks of prescribers, creating additional cognitive load and error opportunities. Dual classification, by manifestation and mechanism, allowed identification of design features which increase risk and potential solutions. e-PS designs with fewer drop-down menu selections may reduce error risk.
引用
收藏
页码:1159 / 1167
页数:9
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