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Improving the current application of TMS prescription tracking system, skill mix and workflow at a hospital
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
2015 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Improving the current application of TMS prescription tracking system, skill mix and workflow at a hospital

Name: Danial Shahrokhzadeh

Supervisor: Katharine Wallace, Maureen Hetherington, Dispensary department of the Antrim area hospital

Examiner: Margareta Hammarlund-Udenaes

Introduction: When the dispensing process is carried out, different combinations of skill mix can be used. There is a theoretical optimal skill mix, which is cost effective and can also reduce the turnaround time of a prescription. An Optimal skill mix is to utilise band 6 pharmacists for the clinical check, band 4 technicians for labelling and dispensing process and band 5 ACPT technicians (accredited checking pharmacy technician) for the final check of the prescription. It is also appropriate to have a workflow that is optimal and leads to one-piece flow. The prescription-tracking system (PTS) leads also to a better workflow.

Aim: Improving the current use of the PTS (company: TMS), skill mixing and the workflow after a baseline analysis and comparing with post-interventional data at Antrim area hospital.

Methods: The employees of the pharmacy department at the hospital attended during the prospective pre-interventional and post-interventional data collection through various tools. A comparison between the different priority categories was carried out retrospectively. Moreover, a questionnaire survey of the personnel and an analysis of the peak activity period were conducted. There was also a lean working analysis of the dispensing process.

Results: There was a statistically significant difference in the priority comparement and the interventional study where the pre-interventional data got 73,3% and the post-interventional data got 89,7%. The questionnaire survey showed us the staff opinion and the peak activity period proved that Friday was the busiest day and 12:00-12:59 was the busiest hour during the day. The lean working analysis showed how the system is working.

Conclusion: The implementation gave better results regarding the impact on the target time. The remaining studies proved that more changes could be made for optimization.

Place, publisher, year, edition, pages
2015. , 51 p.
Keyword [en]
Drug Dispensing, Prescription tracking system, PTS, Skill mix, Workflow, Lean working, TMS
National Category
Pharmaceutical Sciences
URN: urn:nbn:se:uu:diva-274304OAI: oai:DiVA.org:uu-274304DiVA: diva2:896226
Subject / course
Educational program
Master of Science Programme in Pharmacy
Available from: 2016-01-21 Created: 2016-01-20 Last updated: 2016-01-21Bibliographically approved

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