SNF Scan

SNF Scan

Patient Referral Keyword Scan

5 ratings
1 review

Archived App

This is an archived listing of the app previously available on the App Store.

Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.

Details

  • Released
  • Updated
  • August 9, 2017
  • April 15, 2023
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iphone
ipad
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About

This medical app helps healthcare professionals quickly find and share industry-specific keywords from PDF documents. It streamlines the process of identifying critical information for patient referrals and pharmacy needs.

Identify industry keywords
Identify pharmacy keywords
Share critical keywords
Scan PDF documents
Free iOS application
Show original description

What's New in SNF Scan

3.6.8

April 15, 2023

- bugs fixes - improve user interface

User reviews

A huge help.

This has really helped to streamline our referral process. I highly recommend this app to anyone in the nursing industry.

Developer apps

FAQ

What is SNF Scan used for?

SNF Scan is a free iOS application designed for healthcare professionals to quickly identify and share 'Industry Keywords' or 'Industry & Pharmacy Keywords' found within PDF documents.

What devices does SNF Scan support?

SNF Scan is available for iPhone and iPad devices, as indicated by its support for 'iphone' and 'ipad'.

How often is SNF Scan updated?

The latest version of SNF Scan was released on April 15, 2023, indicating regular updates to maintain functionality and compatibility.

What is the age rating for SNF Scan?

SNF Scan has an age rating of 4+, making it suitable for a wide range of users in the medical field.

Is SNF Scan free to use?

Yes, SNF Scan is a free application, as stated in its description and confirmed by its 'Free' price.

What is the user sentiment for SNF Scan?

SNF Scan has received excellent user feedback, holding a perfect 5.0-star rating from 5 reviews.

Can SNF Scan share keywords from PDFs?

Yes, SNF Scan provides the capability to share critical keywords that are identified from PDF documents.