
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.
About
Automate COVID-19 screening for organizations. Users complete a symptoms checklist to assess risk and receive guidance on whether to return home or seek medical attention. Administrators can view screening reports.
What's New in 19clear
2.2
July 26, 2021
We've updated the symptom and circumstances questionnaire to reflect changes released by Ontario on July 16, 2021.
User reviews
Developer apps
FAQ
What is 19clear used for?
19clear is used to automate data collection for COVID-19 screening questionnaires within organizations. It helps assess the risk of infection for employees and visitors before they enter indoor spaces.
How does 19clear help users?
Users complete a standard COVID-19 symptoms checklist. The app then advises the user if they should return home or contact a medical professional based on their responses.
What information do administrators get from 19clear?
Group administrators can access reports showing which users have completed a 'clear' screening and identify those with concerns that require further evaluation before admission to indoor spaces.
Is 19clear available on Android devices?
Based on the provided data, 19clear is supported on iPhone and iPod devices. Information regarding Android compatibility is not available.
When was 19clear last updated?
The latest version of 19clear was released on July 26, 2021. The app was initially released on December 12, 2020.
What is the age rating for 19clear?
19clear has an age rating of 12+. This indicates it is suitable for users aged 12 and older.
Does 19clear have ads?
No, 19clear does not contain advertisements. The app is free to use and does not have in-app purchases.
What is the user feedback on 19clear?
Currently, there is only one rating available for 19clear, which is 1.0 stars. More user feedback would be needed to determine overall user sentiment.





