Page Comparison

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1. Should countries/OpenLMIS use GPC for categorizing trade items under client-defined “Products” (i.e. nomenclature)?  E.g.
   1. Donors, such as USAID, may want to know cost per person in country to supply contraceptives
   2. Ministry officials may want to know how many people may be vaccinated with current stock on hand
   3. OpenLMIS may try to implement processes which help re-order, or suggest pick-lists in fulfillment
      1.  simplified example is: Advil brand puts out their Maximum Strength 400mg capsules with a GTIN, at point of care I just want to ensure that I receive enough capsules with 400mg of Ibuprofen
2. Does a 2-level Product model (one that helps identify trade items, another that groups trade items into usage) follow what GS1 has learned in the healthcare space?
   1. GS1 is pay-to-play, some of our countries may not opt into utilizing GS1, do our models support both users who want some level of traceability and also those who want to adopt a broad set of GS1 standards to refine their traceablity / visibility?
3. Should OpenLMIS be verifying GTINs?
4. Can OpenLMIS do much with GTIN without a GDSN subscription?  (short answer is no)
5. If OpenLMIS became a SaaS offering, are there SaaS friendly GDSN providers?

6. With end-to-end (E2E) traceability as a goal, are the following broad adoption levels accurate?

   	Level	Data Needed	Standards / Carriers
   1	Generic e.g. we know we have bottles of Ibuprofen, not however that it was made by Advil.	Basic product attributes for usage	N/A
   2	Manufacturer (what do we have and who made it)	Manufacturer/brand ID, basic attributes	GTIN ITF-14 on cases UPC or Databar on pack at SDP
   3	First In First out (FIFO)	The product (manufacturer's or generic) and expiration date	GTIN and AI 17 GS128 on cases at distribution centers DataBar Expanded, DataMatrix on pack at SDP
   4	Recalls Adverse Reactions	Manufacture's product and lot	GTIN and AI 10 GS128 on cases at distribution centers DataBar, DataMatrix on pack at SDP
   5	Corruption Shrinkage Full trace	Manufacture's product, lot and serial #	GTIN, AI 10 and AI 21 GS128 on cases at distribution centers Data

Healthcare – current best adoption

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