Optimisation of Outpatient Pharmacy Automation System Drug Dispensing System
Care Process & Redesign
National University Health System Quality Improvement
National University Health System
31 December 2023
Reduce monthly picking failure rate by 50%; reduce average machine error rate to 0.5/day. Optimization yielded significant reliability improvements; plans for future DDS upgrades.
Year Submitted: 2023
Published Date: 31 December 2023
Tags: Care Process ＆ Redesign, Risk Management, Adverse Outcome Reduction
About this Content
Aims
Reduce monthly picking failure rate by 50%; reduce average machine error rate to 0.5/day.
Background
High error and failure rates led to inefficiencies in the dispensing process.
Methods
Staff training, cartridge modification, checklist creation, and optimization of pack sizes.
Results
Picking failure rate reduced to 3.09/1,000 tasks; error rate reduced to 0.45/day.
Conclusion
Optimization yielded significant reliability improvements; plans for future DDS upgrades.
Lessons Learnt
Collaboration with external vendors critical for success; staff engagement drove improvements.
Keywords
Drug Dispensing, Automation, Workflow Optimization, Patient Care
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) | Allied Health, Pharmacy |
Applicable Specialty or Discipline | Pharmacology |
Project Lead(s) | Lim Shi Zong Nigel |
Project Member(s) | Chloe Chong Kai Li |
Connect with this contributor!
Lim Shi Zong Nigel - Nigel_Lim@nuhs.edu.sg
Project Attachment
C_337_NTFGH_QM_2023_Optimisation_Of_Outpatient_Pharmacy_Automation_System_Drug_Dispensing_System.pdf