RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispensing errors and improves inventory management. OBJECTIVE: To identify the frequency of medication dispensing errors before and after the implementation of a robotic original pack dispensing system in an outpatient hospital pharmacy and to analyse the impact of this system on the quality of stock management and staff satisfaction. METHODS: A prospective before-and-after medication error study was performed using a disguised observation technique. Several indicators of stock management and staff satisfaction were monitored. Drugs were dispensed manually by technicians using a barcode-controlled system (preimplementation phase) or the dispensing robot ROWA Vmax (ARX) (postimplementation phase). As not all drugs could be handled by the robot, residual manual dispensing was also used. RESULTS: The dispensing error rate was reduced from 1.31% of prescriptions (43/3284) to 0.63% (19/3004) (relative risk reduction [RRR], 51.7%; 95% CI, 17.3% to 71.8%). The error rate decreased up to 0.12% (3/2496) (RRR, 90.8%; 95% CI, 70.4% to 97.1%) if errors during residual manual dispensing were excluded. The stock-out ratio was reduced from 0.85% to 0.17% (RRR, 80.5%; 95% CI, 49.5% to 92.5%). Daily staff time (median) in stock management was reduced by 59.3% (from 1 hour 36 minutes to 39 minutes). High level of staff satisfaction with this technology was achieved, although it was slightly higher in the group of pharmacists compared to technicians (8.63 ± 0.7 vs 7.78 ± 0.7, P = .046). CONCLUSION: The implementation of a robotic original pack dispensing system substantially decreased the rate of dispensing errors and optimized stock management. Minimizing the number of drugs out of the dispensing robot is critical when attempting to maximize the benefits of its implementation.
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispensing errors and improves inventory management. OBJECTIVE: To identify the frequency of medication dispensing errors before and after the implementation of a robotic original pack dispensing system in an outpatient hospital pharmacy and to analyse the impact of this system on the quality of stock management and staff satisfaction. METHODS: A prospective before-and-after medication error study was performed using a disguised observation technique. Several indicators of stock management and staff satisfaction were monitored. Drugs were dispensed manually by technicians using a barcode-controlled system (preimplementation phase) or the dispensing robot ROWA Vmax (ARX) (postimplementation phase). As not all drugs could be handled by the robot, residual manual dispensing was also used. RESULTS: The dispensing error rate was reduced from 1.31% of prescriptions (43/3284) to 0.63% (19/3004) (relative risk reduction [RRR], 51.7%; 95% CI, 17.3% to 71.8%). The error rate decreased up to 0.12% (3/2496) (RRR, 90.8%; 95% CI, 70.4% to 97.1%) if errors during residual manual dispensing were excluded. The stock-out ratio was reduced from 0.85% to 0.17% (RRR, 80.5%; 95% CI, 49.5% to 92.5%). Daily staff time (median) in stock management was reduced by 59.3% (from 1 hour 36 minutes to 39 minutes). High level of staff satisfaction with this technology was achieved, although it was slightly higher in the group of pharmacists compared to technicians (8.63 ± 0.7 vs 7.78 ± 0.7, P = .046). CONCLUSION: The implementation of a robotic original pack dispensing system substantially decreased the rate of dispensing errors and optimized stock management. Minimizing the number of drugs out of the dispensing robot is critical when attempting to maximize the benefits of its implementation.
Authors: Richard Simon Young; Paul Deslandes; Jennifer Cooper; Huw Williams; Joyce Kenkre; Andrew Carson-Stevens Journal: Ther Adv Drug Saf Date: 2020-06-07
Authors: Amara Callistus Nwosu; Bethany Sturgeon; Tamsin McGlinchey; Christian Dg Goodwin; Ardhendu Behera; Stephen Mason; Sarah Stanley; Terry R Payne Journal: Palliat Med Date: 2019-06-28 Impact factor: 4.762