Detection of patient-ventilator asynchrony based on esophageal pressure using a convolutional neural network

Introduction: In intensive care units (ICU), the most significant life support technology for patients with acute respiratory failure is mechanical ventilation. A mismatch between ventilatory support and patient demand is referred to as patient-ventilator asynchrony (PVA), and it is associated with a series of adverse...

A controlled adaptive computational network model of a virtual coach supporting speaking up by healthcare professionals to optimise patient safety

Previous reports show that a substantial proportion of (near) medical errors in the operating theatre is attributable to ineffective communication between healthcare professionals. Speaking up about observed medical errors is a safety behaviour which promotes effective communication between health care professionals, consequently optimising...

Towards blended care: Tailored and adaptive coaching for Cardiac Rehabilitation

The number of cardiac patients (people with heart problems) is growing all the time. Given that any person who encounters a cardiac condition should undergo cardiac rehabilitation (CR), a program to rehabilitate the heart and learn to manage it in daily life, it is expected that the health system will also grow exponentially in order to meet the...

Personalising patient education for lung cancer patients

Personalising patient education is an important aspect that is needed for patients to become active in decision making and their treatment. Standardised methods are not enough and personalisation can make an improvement in healthcare by focussing more on the patient. This report focusses on patient education at the Albert Schweitzer Hospital...

Exploring possibilities for patient monitoring in the future care context

This project is about shaping the context of critical care in a world where simplicity and consistency is expected from product • user interactions, while the implications of these interactions are becoming more complex. <br/><br/>The project is related to the Critical Alarms Lab (CAL), which focusses on the design of multi-sensory information...

User Research for Online Physiotherapy Community

Lacking compliance to exercise is a problem in the daily treatment of many diseases. To find out how to motivate people to exercise, this research project investigated the broad context of exercise behavior including patient's experiences, first thoughts, needs and wishes during exercise. Interview and usability test were used as the main...