Optimisation Of Outpatient Pharmacy Automation System BD ROWA™Vmas
Care Continuum
National University Health System Quality Improvement
National University Health System
31 December 2023
To reduce the average ROWA task idle time by 50% to 4.84 minutes per task and task picking time by 20% to 1.74 minutes per. High effectiveness of optimization measures shared with other hospitals.
Year Submitted: 2023
Published Date: 31 December 2023
Tags: Care Continuum, Value Based Care, Operational Management, Resource Allocation
About this Content
Aims
To reduce the average ROWA task idle time by 50% to 4.84 minutes per task and task picking time by 20% to 1.74 minutes per task.
Background
Prolonged task idle time and long picking times were observed with the BD ROWA system between Jan-May 2022.
Methods
Large-scale optimization of inventory and pack sizes to minimize picking and labeling time. Phased implementation through 2022.
Results
Achieved idle time target of 4.84 minutes and picking time target of 1.74 minutes per task by Dec 2022.
Conclusion
High effectiveness of optimization measures shared with other hospitals.
Lessons Learnt
Optimization reduced manpower requirements by one staff and demonstrated transferrable success.
Keywords
Outpatient, Pharmacy, ROWA, VMAX, Automation
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National University Health System |
Organization(s) Involved | Ng Teng Fong General Hospital |
Platform(s) | National University Health System Quality Improvement |
Healthcare Professional Group(s) | Pharmacy |
Applicable Specialty or Discipline | Pharmacology |
Project Lead(s) | Lim Shi Zong Nigel |
Project Member(s) | Norjanah Binte Alias |
Connect with this contributor!
Lim Shi Zong Nigel - Nigel_Lim@nuhs.edu.sg