Optimising pharmacy processes in medication delivery service through digitalisation and automation

The rapid expansion of medication delivery service (MDS) during COVID-19 created many new roles in the pharmacy which are manpower intensive and not sustainable as pharmacy resumes counter collection services. To keep MDS operations sustainable, we identified the need to streamline and automate proc...

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Main Authors: Kian Hong Hong Ng, Wen Jun Tiew, Yook Ting, Amanda Woo, Wei Xiong, Nathaniel Lim, Tou Teik, George Lim, Arleen Susan Baskaran
Format: Article
Language:English
Published: BMJ Publishing Group 2025-03-01
Series:BMJ Open Quality
Online Access:https://bmjopenquality.bmj.com/content/14/1/e003150.full
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author Kian Hong Hong Ng
Wen Jun Tiew
Yook Ting, Amanda Woo
Wei Xiong, Nathaniel Lim
Tou Teik, George Lim
Arleen Susan Baskaran
author_facet Kian Hong Hong Ng
Wen Jun Tiew
Yook Ting, Amanda Woo
Wei Xiong, Nathaniel Lim
Tou Teik, George Lim
Arleen Susan Baskaran
author_sort Kian Hong Hong Ng
collection DOAJ
description The rapid expansion of medication delivery service (MDS) during COVID-19 created many new roles in the pharmacy which are manpower intensive and not sustainable as pharmacy resumes counter collection services. To keep MDS operations sustainable, we identified the need to streamline and automate processes which are manual and repetitive. We seek to determine if the Plan, Do, Study, Act (PDSA) cycles would effectively reduce the man-hours required for the MDS over two phases in 1 year. Phase 1 involved digitalisation of order taking and automation of the data entry process. Phase 2 involved automating the order generation and accounting process to replicate the patient information matching task which was performed manually during bagging and dispatch of delivery orders. The baseline period for this study was from December 2020 to January 2021. The results following implementation of PDSA cycles in the respective phases were collected between January 2021 to June 2021 and July 2021 to December 2021. The average time taken for data entry per delivery order reduced from a range of 0.5 to 2.15 min to 0.08 to 0.1 min depending on the ordering method (p<0.05). The average time taken for bagging and dispatch per delivery order shortened from 2.7 min to 0.28 min (p<0.05). The improvements were sustained and cumulatively contributed to 11.8-man-hour savings. The impact of the interventions was discussed. As MDS gains prominence as an important alternative for medication collection due to its rapid expansion due to COVID-19, it is crucial for the pharmacy to expand its capacity and information technology capabilities to cope with higher workload from both MDS and walk-in patients.
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spelling doaj-art-846f87abc53c4e6e8588f955872dbce42025-08-20T01:50:01ZengBMJ Publishing GroupBMJ Open Quality2399-66412025-03-0114110.1136/bmjoq-2024-003150Optimising pharmacy processes in medication delivery service through digitalisation and automationKian Hong Hong Ng0Wen Jun Tiew1Yook Ting, Amanda Woo2Wei Xiong, Nathaniel Lim3Tou Teik, George Lim4Arleen Susan Baskaran5Pharmacy, Changi General Hospital, SingaporePharmacy, Changi General Hospital, SingaporePharmacy, Changi General Hospital, SingaporePharmacy, Changi General Hospital, SingaporePharmacy, Changi General Hospital, SingaporePharmacy, Changi General Hospital, SingaporeThe rapid expansion of medication delivery service (MDS) during COVID-19 created many new roles in the pharmacy which are manpower intensive and not sustainable as pharmacy resumes counter collection services. To keep MDS operations sustainable, we identified the need to streamline and automate processes which are manual and repetitive. We seek to determine if the Plan, Do, Study, Act (PDSA) cycles would effectively reduce the man-hours required for the MDS over two phases in 1 year. Phase 1 involved digitalisation of order taking and automation of the data entry process. Phase 2 involved automating the order generation and accounting process to replicate the patient information matching task which was performed manually during bagging and dispatch of delivery orders. The baseline period for this study was from December 2020 to January 2021. The results following implementation of PDSA cycles in the respective phases were collected between January 2021 to June 2021 and July 2021 to December 2021. The average time taken for data entry per delivery order reduced from a range of 0.5 to 2.15 min to 0.08 to 0.1 min depending on the ordering method (p<0.05). The average time taken for bagging and dispatch per delivery order shortened from 2.7 min to 0.28 min (p<0.05). The improvements were sustained and cumulatively contributed to 11.8-man-hour savings. The impact of the interventions was discussed. As MDS gains prominence as an important alternative for medication collection due to its rapid expansion due to COVID-19, it is crucial for the pharmacy to expand its capacity and information technology capabilities to cope with higher workload from both MDS and walk-in patients.https://bmjopenquality.bmj.com/content/14/1/e003150.full
spellingShingle Kian Hong Hong Ng
Wen Jun Tiew
Yook Ting, Amanda Woo
Wei Xiong, Nathaniel Lim
Tou Teik, George Lim
Arleen Susan Baskaran
Optimising pharmacy processes in medication delivery service through digitalisation and automation
BMJ Open Quality
title Optimising pharmacy processes in medication delivery service through digitalisation and automation
title_full Optimising pharmacy processes in medication delivery service through digitalisation and automation
title_fullStr Optimising pharmacy processes in medication delivery service through digitalisation and automation
title_full_unstemmed Optimising pharmacy processes in medication delivery service through digitalisation and automation
title_short Optimising pharmacy processes in medication delivery service through digitalisation and automation
title_sort optimising pharmacy processes in medication delivery service through digitalisation and automation
url https://bmjopenquality.bmj.com/content/14/1/e003150.full
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