Important concepts

Tutorial: Build Covid-19 Support care flow

Sanne Willekens avatar
Written by Sanne Willekens
Updated over a week ago

Before we dive into the actual building, we want to clarify three crucial concepts in Awell Studio: Tracks, steps, and data points.

Tracks

Care flows can get long very quickly. Awell Studio allows splitting your care flow into separate entities, the tracks. Additionally, the track activation triggers provide you with more flexibility, as you can activate a track only for a specific patient group.

There is no fixed rule for defining what goes into which track of your care flow. You can split your flow per activity type. For example, you can have a data collection track, along with an information-sharing track and a track for care delivery activities. Alternatively, you can define the flow based on the chosen treatment or the different phases the patient goes through during the treatment, like pre-surgery, surgery, post-surgery.

Steps

In Awell Studio we use steps as containers that hold all activities (forms, messages, calculations, checklists, API calls) that should happen at a given moment. Once all of the blocking actions are completed, you can progress to the next step (container) in the care flow. Actions related to data input like forms and checklists are considered blocking actions. In practice, it means that you have to submit a form first before you can continue on the care flow. A non-blocking activity (message, calculation, EMR activity) lets your care flow continue, even if a report is not sent or a message is not read.

Data points

Data points are the essence of a care flow. When the correct data points are captured you can use this information to take different routes in your care flow by setting conditions or time delays in your transitions. Data points, like the activation and completion dates of steps, are collected automatically. You can create data points using forms, calculations or baseline data points in your care flow.

Read more on data points in our data catalog article.

We show you these concepts in practice in the following tutorial videos.

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