The aim of this project was to design a product that helps implement a newly developed algorithm to aid in the diagnosis of allergies.

Interviews with allergy patients, allergists, and other specialists were conducted to gain information on their experiences. Literature research was done on recent discoveries on allergy diagnosis.
Information was clustered, and a specific target group was chosen: general practitioners and their patients.
Two concepts were developed and discussed with the target group. One concept was chosen and an interactive prototype was made. A user test was conducted to test usability of the design.

The product that has been developed is an app called Allergenie. The app is used to keep track of food intake, use of care products, and symptoms. The patient can scan barcodes of products with the app, which is linked to a database containing all ingredients. At the end of the tracking period, the patient exports their input into a timeline, which links symptoms to possible allergens that are consumed in the timeframe before the symptoms arose. When an allergen is suspected of causing the patient’s symptoms, the general practitioner orders a blood test using the algorithm.

Using an app to keep track of food, care products, and symptoms was perceived positively by the target group. Being able to scan a barcode and view all of the ingredients will provide more in depth information.
The app and export both proved to be clear and usable by patients and general practitioners.