While we have made progress in improving public health supply chains in lower- and middle-income countries, we are going to have to think and act differently if we are going to meet the challenges of the coming decade and the ambitious sustainable developments goals for 2030.
To drive continuous improvement in supply chain performance a multi-disciplinary approach that focuses on people, technology, and processes is essential. JSI is helping countries establish Information Mobilized for Performance Analysis and Continuous Transformation (IMPACT) Teams – groups of people harmoniously working together – to analyze performance and make systematic efforts to improve the quality and efficiency of the supply chain.
We, as partners working in the immunization supply chain, must adapt and be willing to question the status quo in order to bring about improvements, increase access to potent vaccines, and ultimately increase coverage rates.
Recent experience in seven countries has taught us how crucial it is to create a data culture for supply chain by focusing on people as well as technology. This new, people-centered approach takes the idea of a commercial sector control tower and applies it to public health.
This summer, Protichi Basak and Nikita Gupta are working with OpenLMIS, which is an initiative to support the development of an open-source software for Logistics Management Information Systems (LMIS). As computer scientists, they believe that technology has the power to provide an automated solution to any real-world problem. In this blog, they share their coding for public health story.
Having the logistics system in place means that women from remote areas can rely on public health centers to provide a steady supply of contraceptives and reproductive health medicines.
Last week, UNICEF hosted a meeting where experts with a combined 1,000 years of practice in cold chain maintenance discussed some of the current challenges and opportunities related to cold chain maintenance and temperature monitoring at the country level. This blog highlights some of the key themes that came out of the meeting.
No matter how complex the computer modeling, no matter how well-automated the processes, no matter how ingenious the machine learning, a computer can’t predict when a medicine’s dispensing protocol changes, or anticipate how quickly or completely new product or regimen uptake will occur. What we have learned over the years, beyond the importance of data visibility and analysis, is that human practice controls medicine dispensing and ultimately demand. Computers can’t, in actuality, do all the work.
inSupply convened 30 county-level public health leaders from 10 counties and their national partners in Machakos, Kenya to launch the IMPACT Team Network approach for collaboratively solving supply chain problems through teamwork, data analysis, and continuous improvement.
Immunization supply chains managers should be thinking about how to use new technology and innovative ideas to deliver more product, faster, and at a lower cost. We aren’t looking for Amazon Prime and delivery in an hour (although that would be nice). What is needed, though, is a reliable and efficient supply chain system that guarantees that all children can be immunized.