ObjectivesTo 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.MethodsAudit 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.Results42.4% (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)).ConclusionsSystem-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.

The computerized alerts failed to target the doctors who were making the prescribing decisions on ward-rounds. Senior doctors were the decision makers, yet the junior doctors who used the system received the alerts. As a result, the alert information was generally ignored and not incorporated into the decision-making processes on ward-rounds. The greatest value of decision support in this setting may be in non-ward-round situations where senior doctors are less influential. Identifying how prescribing systems are used during different clinical activities can guide the design of decision support that effectively supports users in different situations. If confirmed, the findings reported here present a specific focus and user group for designers of medication decision support.

Objective To conduct a cost–effectiveness analysis of a hospital electronic medication management system (eMMS).Methods We compared costs and benefits of paper-based prescribing with a commercial eMMS (CSC MedChart) on one cardiology ward in a major 326-bed teaching hospital, assuming a 15-year time horizon and a health system perspective. The eMMS implementation and operating costs were obtained from the study site. We used data on eMMS effectiveness in reducing potential adverse drug events (ADEs), and potential ADEs intercepted, based on review of 1 202 patient charts before (n = 801) and after (n = 401) eMMS. These were combined with published estimates of actual ADEs and their costs.Results The rate of potential ADEs following eMMS fell from 0.17 per admission to 0.05; a reduction of 71%. The annualized eMMS implementation, maintenance, and operating costs for the cardiology ward were A$61 741 (US$55 296). The estimated reduction in ADEs post eMMS was approximately 80 actual ADEs per year. The reduced costs associated with these ADEs were more than sufficient to offset the costs of the eMMS. Estimated savings resulting from eMMS implementation were A$63–66 (US$56–59) per admission (A$97 740–$102 000 per annum for this ward). Sensitivity analyses demonstrated results were robust when both eMMS effectiveness and costs of actual ADEs were varied substantially.Conclusion The eMMS within this setting was more effective and less expensive than paper-based prescribing. Comparison with the few previous full economic evaluations available suggests a marked improvement in the cost–effectiveness of eMMS, largely driven by increased effectiveness of contemporary eMMs in reducing medication errors.

Complete, accurate and timely hospital discharge summaries are important for continuity of care. The aim of this study was to evaluate the effectiveness of an electronic discharge summary system in improving the medication information provided compared to the information in paper discharge summaries. We conducted a retrospective audit of 199 paper and 200 electronic discharge summaries from a 350-bed teaching hospital in Sydney, Australia. The completeness of medication information, and whether medication changes during the admission were explained, were assessed. Further, the likelihood of any incomplete information having an impact on continuity of care was assessed. There were 1352 and 1771 medication orders assessed in paper and electronic discharge summaries, respectively. Of these, 90.9% and 93.4% were complete in paper and electronic discharge summaries, respectively. The dose (OR 25.24, 95%CI: 3.41-186.9) and route (OR 8.65, 95%CI: 3.46-21.59) fields of medication orders, were more likely to be complete in electronic as compared with paper discharge summaries. There was no difference for drug frequency (OR 1.09, 95%CI: 0.77-1.55). There was no significant improvement in the proportion of incomplete medication orders rated as unclear and likely to impede continuity of care in paper compared with electronic discharge summaries (7.3% vs. 6.5%). Of changes to medication regimen, only medication additions were more likely to be explained in the electronic (n=253, 37.2%) compared to paper (n=104, 14.3%) discharge summaries (OR 3.14; 95%CI: 2.20-4.18). In summary, electronic discharge summaries offer some improvements over paper discharge summaries in terms of the quality of medication information documented. However, explanations of changes to medication regimens remained low, despite this being crucial information. Future efforts should focus on including the rationale for changes to medication regimens in discharge summaries.

We describe the implementation of an electronic medication management system (eMMS) in an Australian teaching hospital, to inform future similar exercises. The success of eMMS implementation depends on: a positive workplace culture (leadership, teamwork and clinician ownership); acceptance of the major impact on work practices by all staff; timely system response to user feedback; training and support for clinicians; a usable system; adequate decision support.