GlobalHealth Asia-Pacific Issue 5 | 2024 | Page 14

IJN launches I-PHARMABOT , nation ’ s first ADMS

Heart News

Cardiovascular disease mortality

The Lancet predicts that cardiovascular mortality will increase by

91.2 % between 2025 and 2050 . Ischemic Heart Disease ( IHD ) and stroke are expected to remain the leading causes of death . Central Asia will have the highest age-standardized mortality rate ( ASMR ) at 676 deaths per 100,000 people , while high-income Asia will have an ASMR of 22 deaths per 100,000 people in 2050 .
While IHD is the biggest CV mortality contributor across Asia , stroke will be the key driver of the CVD burden in South-East Asia . This regional variation is attributed to a substantial increase in the burden of atrial fibrillation and flutter in the region , consequently resulting in a rise in thromboembolic strokes
Disproportionately large spikes in high BMI and high FPG are most evident in the Central Asia , South Asia and South-East Asia regions , while low physical activity and kidney dysfunction-associated mortality rates are projected to rise in Central Asia , East Asia and South-East Asia

IJN launches I-PHARMABOT , nation ’ s first ADMS

T

he National Heart Institute ( IJN ) has launched i-Pharmabot , the nation ’ s first Automated
Dispensing Medication System ( ADMS ).
“ While the technology behind i-Pharmabot is similar to those used in the United States and the United Kingdom , what sets ours apart is that it has been specifically tailored for our outpatient services ,” said IJN Holdings chairman Datuk Seri Dr Chen Chaw Min during the launch .
The automated system has helped streamline the entire process by having prescriptions screened and prepared before the arrival of patients , with i-Pharmabot able to sort , label and dispense medications accurately .
Costing almost RM6.4mil , the system was acquired from the collaboration between Dutchbased pharmacy automation systems provider RoboPharma and Singapore-based Omni-Health .
Chen pointed to the fact that in 2023 , IJN ’ s level of accuracy was seen in the low rate of 3.3 errors per 100,000 items for both inpatient and outpatient care .
Chen expects i-Pharmabot to help further reduce such errors , especially when it comes to packing and sorting medication . While it will not completely eradicate every type of error , he was confident that i-Pharmabot will help to significantly lower the chances of mistakes .
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