Product Images Intralipid
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 20 images provide visual information about the product associated with Intralipid NDC 0338-0518 by Baxter Healthcare Corp, 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.
bag 10 - bag 10
This is a 250 ml bottle of Intralipid 10%, which is a fat emulsion for intravenous use. The bottle has the NDC number 0338-0518-12.*
image 3 - inforuse10 image3
image 5 - inforuse10 image5
This text provides instructions for inserting a spike into an infusion port. It reminds the reader to make sure the spike is inserted straight and to inspect the bag for any signs of discoloration or particulates before administering.*
image 2 - infouse10 image2
The provided text provides instructions for removing the overwrap from a container of food and discarding the included sachet and oxygen absorber. It also suggests how to position the bag for storage.*
figure 1 - instruct fig1
The text describes the use of an Integrity indicator (Oxalert™) to inspect the overwrap of a product before removing it. If the indicator is black, the overwrap is damaged, and the product should be discarded.*
figure 4 - instruct fig4
figure 6 - instruct fig6
fatacd - intralipid 20 figure 1 fatacid intralp
phph - intralipid 20 figure 10 phph intrlp
phscl - intralipid 20 figure 11 phosclne intrlp
phsam - intralipid 20 figure 12 phosamn intrlp
r1c - intralipid 20 figure 2 r1c intralip
r2c - intralipid 20 figure 3 r2c intralip
r3c - intralipid 20 figure 4 r3c intralp
lnacd - intralipid 20 figure 5 linacid intralp
oldad - intralipid 20 figure 6 oleic intrlp
pamad - intralipid 20 figure 7 palacd intralp
linad - intralipid 20 figure 8 2nd linacd intrlp
strad - intralipid 20 figure 9 stear intrlp
image 13 - intralipid figure 13 intrlp
* 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.