Outpatient Pharmacy Improvement Using Internet of Things Based on BPR Approach

Abstract

Outpatient waiting time in pharmacy is the most common problem faced by hospital
pharmacy. Implementation of the Internet of Things (IoT) in the hospital pharmacy
service process is expected to help pharmacists to provide services more quickly and
accurately. This research aims to design operational process improvements in hospital
outpatient pharmacy services supported by the implementation of IoT with Business
Process Reengineering (BPR) approach. The goal is processing time improvement for the
hospital outpatient pharmacy services. The Complex Proportional Assessment (COPRAS)
method is used to prioritize the risks of the current process for which remedial actions
will be proposed by implementing IoT. The proposed improvement is divided into three
strategy options and the results of the research show the greatest improvement in the
model that implements a combination of Automated Dispensing Machine (ADM) and
Clinical Decision Support System (CDSS). The total reduction in processing time is 63%
for the process of patent medicine service and 34% for the process of personalized
medicine service in hospital outpatient pharmacy.