20 to 40% of the population suffers from allergies. To seek treatment, patients generally have to go through an emergency department, a GP and/or a GP. This process can take months, from reaction to consultation. What's more, paper allergy passports are expensive, cumbersome, difficult to trace, sometimes illegible and often forgotten by the person concerned.

Allerpass offers a digital allergy passport for monitoring and teaching patients about severe allergies. Allergy sufferers benefit from better care and health monitoring, and doctors save consultation time by having all the information they need to treat their patients properly.

📆 Autumn 2022 cohort

In the paediatric intensive care unit, measurement poses three problems:

• Assessment: 70 instruments developed for the 4 conditions combined, and the overlap of symptoms increases the mental workload for nurses who have to remember to assess 4 different conditions. When several instruments are available, this can create confusion and nurses have been known to choose the wrong instrument for the wrong condition.
• Once the assessment has taken place, the second challenge is to document it. 1 instrument out of 4 is integrated into the electronic medical record, while the other 3 are on paper. Of the instruments integrated into the electronic medical record, only 12% automatically calculate a score. Calculating scores and remembering to document them in the hectic environment of the PICU therefore represents a workload.
• The third challenge is interpreting the scores. There is a lack of guidance on how to interpret and use the scores and, at present, no instrument has usable score-based EB recommendations.

Alleviate's mission is to develop a simple tool to help relieve unnecessary suffering. It is an electronic tool that combines four previously developed measuring instruments and eliminates overlapping elements. It is patient-centred and relies on continuous communication between nurses, which is a unique feature. It ensures that the right instruments are used for each patient at the right time. An internal scoring algorithm calculates a score for each condition and, based on this score, makes evidence-based management recommendations.

Too few patents are filed in obstetrics, indicating the low level of innovation in the discipline. At present, the core business of childbirth is clearly losing ground to other disciplines such as foetal medicine. And yet, delivery by vaginal route or caesarean section remains the ultimate goal of a pregnancy. We are seeing a real dehumanisation of childbirth in favour of patient safety.

E-Motion proposes to use virtual reality to help create and maintain a maternal bond at every stage of pregnancy and childbirth.

📆 Autumn 2020 cohort

Discover the project here.

Sleep disorders are very common and represent an enormous burden for society. To improve diagnosis and monitor the effectiveness of treatments, new methods of recording sleep are needed.

SleepSensor offers a three-level solution:

• A non-intrusive sensor-based system for acquiring physiological data during sleep.
• Machine learning algorithms for signal processing, feature extraction and automatic classification of sleep and wake stages.
• Machine learning algorithms for analysing patient data.

Shanaz has been awarded an Innosuisse grant worth 400,000.- in 2022, and an Innotrek grant worth 100,000.- in 2021.

📆 Spring cohort 2021