Product Images Intralipid
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 19 images provide visual information about the product associated with Intralipid NDC 0338-0519 by Baxter Healthcare Corporation, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
This is a description of a pharmaceutical product called Intralipid® 20%, which is an I.V. Fat Emulsion contained in a 1000 mL Pharmacy Bulk Package. It should not be directly infused into the patient's body but is suitable for intravenous use. The NDC (National Drug Code) for this product is 0338-0519-14.*
This text provides instructions on how to open a package containing an item. The text suggests removing the overwrap by tearing at the notch and discarding the Oalert sachet and oxygen absorber. It then provides instructions on placing the bag on a clean, flat surface or hanging it on a support hook.*
This text provides instructions for breaking off a tamper-evident arrow flag from a blue infusion port and specifies the required diameter for using a compounding set.*
This text provides instructions on how to insert a spike through the center of an infusion port. It also advises the user to inspect the bag and its contents for any particulate matter before use and to discard the bag if there are any signs of discoloration or particulates.*
This text is a set of instructions on how to transfer contents from one bag to another. It suggests hanging the first bag on a hanger, and then simply cutting the bottom of the bag and allowing its contents to flow into the second bag, which is likely a compounding bag.*
The Integrity indicator (Oxalert) should be inspected before removing the overwrap. If the indicator is black, the overwrap is damaged and the product should be discarded.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.