Mirror.report wearable integration

Connect Mirror.report to Hylyght and make wearable data available directly from each athlete’s or patient’s profile. View heart rate, activity and sleep data from the same profile as your tests, questionnaires and follow-up notes, so you do not need to switch between tools to understand the full picture.

How it works

You need an active Hylyght license and a Mirror.report setup that collects wearable data for the people you work with. Once connected, wearable insights can be accessed from the person profile in Hylyght.

Step 1 – Connect your setup

Make sure your Mirror.report environment is active and contact Hylyght to connect it to your account. Once connected, data from Mirror.report can be linked to the right person profiles in Hylyght.

Step 2 – Match the right person

Make sure the person exists in Hylyght and is correctly linked to the corresponding data source. This ensures wearable data are shown in the correct profile and remain connected to the rest of that person’s monitoring history.

Step 3 – Use wearable data in context

Open the athlete or patient profile in Hylyght and access Mirror.report data in context with your other tests, questionnaires and follow-up information. You open the Mirror.report dashboards from the Hylyght profile, so you can view wearable data alongside the rest of your assessment data without duplicating or syncing the data itself.

Who uses this integration?

This integration is built for organisations that want wearable data as part of their assessment and follow-up processes. Sports clubs, academies and clinics can use it to keep heart rate patterns, activity metrics and sleep data connected to the right person over time.

In Hylyght, wearable data are especially useful in the following solution areas:

Why use Mirror.report with Hylyght?

Mirror.report data are accessible from the profile where you already track tests, questionnaires and follow-up information in Hylyght. That gives you a more complete view of each person and makes it easier to interpret wearable data in context instead of in a separate monitoring tool.

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