Isosec MIA 17+

Isosec Ltd

Designed for iPad

    • Free

Screenshots

Description

MIA is a mobile application that provides simplified, aggregated and contextual data from a group of multiple clinical and medical systems. MIA provides a single simplified point of role defined access, allowing the user to see just the data that they need without moving from system to system or screen to screen.

Features:

-Smartcard authentication to the NHS spine in the United Kingdom
-Virtual Smartcard authentication to the NHS spine using a Virtual Smartcard passcode or Touch ID
-Secure access to clinical information
-Secure storage of the clinical records
-Ability to work both online and offline
-Synchronisation between the client and a server, and also among all the clients in the same team

What’s New

Version 4.6

- Added ability to detect whether previously opened authenticated session wasn't thoroughly closed
- Added detection of a configuration item in the PortalURL string to enforce automatic user logout if 3rd party web application running inside this app experienced a login error
- Added 'WKWebViewDisplayProperLogoutAlertOnLoad' to display a message to user about correct logout process
- Added detection CIS2 authentication being attempted and automatically redirecting the user to the initial PortalURL because the user is already logged in
- Added usage and configuration of a specific request header to allow clinical systems recognise that they are being opened inside this application's embedded web browser

App Privacy

The developer, Isosec Ltd, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Browsing History

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Browsing History
  • Usage Data
  • Diagnostics

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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