Product Images Qcare Oral Cleansing And Suctioning System, Q4

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Product Label Images

The following 3 images provide visual information about the product associated with Qcare Oral Cleansing And Suctioning System, Q4 NDC 53462-504 by Sage Products Llc, 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.

R4699B_6504_bag1 - R4699B 6504 bag1

R4699B_6504_bag1 - R4699B 6504 bag1

This appears to be a description of an "Oral Cleansing & Suctioning System" with instructions on how to attach it to a standard suction device. It includes a "Covered Yankauer" tool to aid with the removal of secretions. The package includes two sets of suction packages, suction tubing, and two Yankauer tools. The ingredients are listed and the product is non-sterile and latex-free. The reorder number is 6504 and it is from Sage Products LC.*

R5427_top_web_film_6504 - R5427 top web film 6504

R5427_top_web_film_6504 - R5427 top web film 6504

This appears to be a product description for various dental and medical tools such as suction swabs, toothbrushes, and catheters. However, some of the text is not readable so it may not be possible to fully understand the description.*

R6037_6504_overlabel2 - R6037 6504 overlabel2

R6037_6504_overlabel2 - R6037 6504 overlabel2

This text refers to a medical kit that contains various suctioning devices including a covered Yankauer, untreated suction toothbrushes with an anti-plaque solution, suction oral swabs with Perox-A-Mint solution, and oropharyngeal suction catheters. The active ingredients in the solutions are cetylpyridinium chloride and hydrogen peroxide, respectively. The kit also contains sodium bicarbonate and a mouth moisturizer. The use of this kit is restricted by US federal law to physicians or licensed practitioners only. The kit is non-sterile and does not contain latex.*

* 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.