With a firehose of data streaming in from a variety of sources, it can be extremely difficult to know if you’ re even looking at the right set. |
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we can ask important questions, like what are the proper clinical substitutions that can be stored in case of emergency? How can we ensure that if a disruption takes place, we have a plan in place so there’ s no break in continuity for the clinicians?
Supply chain intelligence and heading risk off at the pass By identifying the risks accurately, no matter what happens, you can be shipped clinically approved products, increasing service rates and getting patients the treatment they need. And once that’ s established, you can begin to positively influence your inventory demand. For instance, instead of buying a single product from eight different manufacturers, you can consolidate to one,
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which helps you better drive both the supply and demand.
That knock-on effect doesn’ t stop there. Leaders can not only improve cost savings, but improve revenue, tackling a huge challenge in healthcare settings. Making sure you’ re driving the right clinical products for standard clinical processes can provide a solid
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foundation to help your healthcare facility provide the best care for your patients and fill in the revenue gap.
Bringing artificial intelligence to supply chain intelligence Talk to any CIO or CTO at a major health system, and they will tell you they’ ve been hearing how artificial intelligence is
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going to fix all of their problems for years, to no avail. But the leaps made in generative AI can truly be a game changer for supply chain leaders.
Let’ s look at an example. If Medline is a prime vendor for a health system, that means we may be supplying as many as 5,000 different SKUs to that system. As a supply chain leader,
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