Healthtech

Clinics and health services have vast amounts of patient data, but it’s seldom utilised to its full potential. In Modum Bad's clinics, the patients answer weekly surveys to assess their well-being and mental health development in real-time. The data can be a valuable resource to improve and evaluate medical treatments.

Harnessing patient data

By putting the data in context and visualising development over time, it gives a more accurate and relevant image of the patient’s status. Colours indicate data points that are cause for concern (orange) as well as data that are in a ‘safe area’ (green) and improving (blue).

, we designed visualisations and contextualisation of essential data, such as, for example, patients' ratings of depression or weight concerns. By assigning colours like orange, blue, or green to patients' scores and including both current status and development over time, it's easier for the clinician to assess the patient.

Contextualizing and visualising data

With the visualised data as support, the aim is for the health teams at the clinics to use it to make better-informed decisions for the patients' treatment. For example, by seeing the development of a patient's well-being score or visualising patterns and correlations in changes, it can be possible to adjust the treatment to better fit each individual and secure treatment quality.

More effective treatment

During the design process, we collaborated closely with engineers and data analytics to develop the solution. We have gathered user insights from the clinicians and user-tested the design continuously.

The pilot has been delivered and launched at one of Modum Bad's clinics, focusing on patients with eating disorders. However, the plan is to introduce it to Modum Bad's other six clinics and make it available to other health institutions in Norway, with great potential to positively impact a wide range of treatments.

Visualising and contextualizing patient insights