Virtual Training 17+

Wellfaster ApS

Designed for iPad

    • Free

Screenshots

Description

Virtual Training® was developed as up to 70% of Home Exercise Plans (HEP) was not followed. Health professionals, health providers and insurance companies wanted to reduce this to below 20% - and succeeded.

This is the mobile version of Virtual Training®, build on the same platform as the current Virtual Training® desktop solution - successfully used in rehabilitation training across Scandinavia since 2010.

Virtual Training® is clinically proven (since 2014) as a tool to secure patient motivation during rehabilitation, reducing rehabilitation time and claim costs (insurance companies)

Virtual Training® is an innovative rehabilitation tool which helps physiotherapists provide easy and efficient rehabilitation to the patients in his/her own home or in rehabilitation facilities. The system is being developed in co-creation with Danish health providers.

350.000 exercises were performed by Jan. 2016 – which makes Virtual Training® one of the worlds most used eHealth-solutions within professional rehabilitation training. The solution also won the Microsoft’s Global Innovation Award in 2013.

A training plan is set up by the therapist, and send to the mobile device. Training data is send to the therapist when performed. If the plan is not followed, exercises is performed with bad result or pain is detected, the therapist will be notified and can adjust the plan accordingly.
The solution closes the gap between therapist and patient.

What’s New

Version 4.6.5

Minor Improvements

App Privacy

The developer, Wellfaster ApS, 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 Linked to You

The following data may be collected and linked to your identity:

  • Contact Info

Data Not Linked to You

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

  • Location
  • Usage Data

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

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