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Conference hosts roundtable chats, with topics ranging from data-driven decision making to cold chain logistics.
Following a variety of presentations and panels, the LogiPharma USA team hosted interactive roundtable discussions featuring a plethora of topics/tables including:
I decided to stick with Table #1. It revolved heavily around how the industry can use data to mitigate supply chain decisions, along with the proper ways to handle exceptions, especially pertaining to Drug Supply Chain Security Act (DSCSA) compliance.
In digging into this further, I came across an article that Tallant had penned exactly on this topic in which he noted that “because there will be exceptions to all data matching, dealing with them efficiently will be critical to keep the pharmaceutical supply chain moving. There is a myriad of reasons why the physical product received will not match the digital record of what was sent. There are scenarios of product received, but no data for the product is present. Scenarios of data received, but no corresponding product has arrived will occur. Dealing with damaged product and possible suspect product will be part of the exception handling equation as well.”
In essence, Tallant added at the roundtable that it is all about being receive “clean data.” The handling of temperature excursions have also been a concern.
The question was also raised as to where artificial intelligence (AI) fits in pharma. A point was made that the supply chain certainly wants to maximize AI, while also keeping it constrained at the same time; a fear is that manufacturers could utilize ChatGPT to brainstorm new concepts.