The impact of transition to a digital hospital on medication errors (TIME study).

Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (p < 0.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-, p < 0.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-, p < 0.001), and dosing errors (32.3% pre- vs. 14% post-, p < 0.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-, p = 0.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors.

The effect of Computerised Physician Order Entry on prescribing errors: An interrupted time-series study at a secondary referral hospital in Australia.

BACKGROUND: Computerised Physician Order Entry (CPOE) software is increasingly used across the world to improve medication safety. However, few high-quality studies have reviewed the impact of CPOE on prescribing errors and patient harm. OBJECTIVE: To investigate the effect of a hybrid CPOE-paper prescribing system on prescribing errors at a secondary hospital site. DESIGN: An interrupted time-series study was conducted by identifying prescribing errors via prospective medical chart review before and after the implementation of CPOE across three medical wards. PARTICIPANTS: The medication orders of all patients admitted to the medical wards during the study period were reviewed. INTERVENTION: Implementation of a CPOE across three medical wards. MEASURES: A blinded expert panel risk stratified the errors according to level of severity, preventability and potential for harm. Pearson's chi square and segmented regressions were used to determine if there were differences in prescribing errors pre- and post-CPOE implementation. KEY RESULTS: A total of 10,535 medication orders were reviewed pre-CPOE and 13,841 medication orders reviewed post-CPOE. Analysis demonstrated that after implementation of CPOE there were reductions in the proportion of orders with one or more of any error (-30.1%, 95 %CI: -36.5%, -23.7%, p < 0.001). Reductions in the proportion of orders with one or more errors were seen across the error categories of dosing errors (-20.1%, 95 %CI: -25.1%, -15%, p < 0.001), procedural/administrative errors (-18.9%, 95 %CI: -22.8%, -15%, p < 0.001), and therapeutic errors (-2.6%, 95 %CI: -4.1%, -1%, p = 0.002). Post-CPOE there were reductions in the proportion of orders with at least one non-intercepted serious error (-12.6%, 95 %CI: -16.4%, -8.8%, p < 0.001). CONCLUSION: The introduction of CPOE was associated with reductions in prescribing errors. There is also evidence that this translated into a reduced risk of harm to patients post-CPOE implementation through the reduction in actual adverse drug events.

Compliance With Enoxaparin Dosing and Monitoring Guidelines and the Impact on Patient Length of Stay: A Pilot Study.

BACKGROUND: To investigate the compliance of prescribers with the state-wide Queensland Health (QH) guidelines for dosing and monitoring of enoxaparin, and to examine the effect that compliance has on the patients' length of stay (LOS) in hospital. METHODS: A 4-week retrospective study of consecutive inpatients who were administered enoxaparin for the treatment of an embolic disease. Data collected included influential patient demographics such as weight, renal function; details of antifactor Xa (aXa) monitoring, and patient LOS. All dosing and monitoring for each patient was compared to the current QH guidelines for enoxaparin usage; a multidisciplinary consensus document. The reasons for noncompliance were quantified and explored. RESULTS: A total of 67 inpatients were recruited. The median (range) age, weight, and creatinine clearance of patients were 66 years (18-92), 78.5 kg (47.6-182), and 64 mL/min (16-180), respectively. Only 20 (30%) patients received enoxaparin in compliance with QH guidelines, leaving 47 (70%) noncompliant. The median (range) LOS was 7 (2-58) days for the compliant group versus 15 days (2-101) for the noncompliant (P = 0.06, Mann-Whitney U test). A total of 10 (15%) patients were monitored for aXa; none of whom were monitored correctly. Twenty-eight patients did not receive monitoring when indicated (moderate or severe renal impairment, weight >105 kg, or extended duration of therapy). In these patients, the median (range) LOS was 16.5 days (2-101). CONCLUSIONS: Current prescribing of enoxaparin does not match state guidelines. Although not significant, there was a trend toward noncompliant patients having a greater LOS in hospital. The quality of aXa monitoring is suboptimal and barriers need to be explored. Larger studies are warranted.