Projects
Transitional care in adolescents and young adults with congenital heart disease: multi-level analysis of healthcare system factors, hospital and patient characteristics impacting lanck of cardiac follow-up. KU Leuven
Congenital heart disease (CHD) is the most common birth defect in newborns, affecting about 9 per 1,000 babies worldwide. It comprises a wide spectrum of anatomical defects of the heart and/or great intrathoracic vessels that have a variable long-term impact on patients’ health status, functionalities, and overall well-being. While CHD was one of the most common causes of infant mortality around the 1960s, about 90% of children with CHD ...
BRIDGING THE MATERIAL, SOCIAL, AND PSYCHOLOGICAL WORLD BY EXPLORING THE TRANSFORMATIVE POTENTIAL OF SMART PRODUCTS IN HEALTHCARE SERVICE SYSTEMS Ghent University
Today, actors in healthcare service systems - like patients, healthcare providers and technology developers - are experimenting with smart products (i.e. physical products enhanced by digital components) to deliver better services. Despite their potential to improve service quality, research on the way in which smart products (material world) affect the social practices [i.e. routine patterns of action (social world)] and well-being [i.e. ...
Chronic pain, stigma, and invalidation: the contribution of mismatches between illness models of individuals with chronic pain and healthcare practitioners. Ghent University
Stigmatization and invalidation are common in the context of chronic pain, even in healthcare encounters. The current project goes beyond present research by taking two perspectives on these dynamic processes. On the one hand a contextual perspective, which focuses on different healthcare institutions. On the other hand a temporal perspective, which focuses on pain patients’ healthcare seeking pattern over time. We expect that mismatches in ...
The role of pain cognitions in healthcare utilization in patients undergoing surgery for lumbar radiculopathy: A multicenter randomized controlled clinical trial Vrije Universiteit Brussel
Leveraging Big Data To Improve Healthcare Decision-Making KU Leuven
There is general optimism and enthusiasm that the introduction of Big Data and related technologies will substantially change and improve delivery of medical care and healthcare decision making. In the project proposed here we will explore how the use of routinely collected data (RCD) can be of real benefit for healthcare decision-making. To achieve this objective, we will explore the technical, legal and ethical problems related to ...
Culturally competent and sensitive care: study on perceptions, needs and barriers of healthcare professionals and informal carers to improve quality of care for patients with a migration background Vrije Universiteit Brussel
increasing number of patients from diverse ethnic, religious and linguistic background. Scientific
research highlights that patients from minority groups receive lower quality of care, and inequities
and disparities towards these groups can be found in healthcare.
Culturally competent and sensitive care is often cited as a ...
Integration of Nurse Practitioners in healthCARE settings in Flanders (NP-Care): Nurse practitioner-sensitive outcomes for evaluation and unraveling implementation processes Ghent University
To respond to high care demands and burden on healthcare professional (HCP) teams in primary and hospital care, strengthened by the Covid-19 pandemic, care models involving nurse practitioners (NPs) who act as substitutes for doctors can be a solution. In Belgium, NP-led care is at early-stage. Although outcomes of NP-led care at patient-level have been widely studied, mainly in primary care settings, little is known about NP-sensitive ...
Leveraging Big Data To Improve Healthcare Decision-Making Ghent University
There is general optimism and enthusiasm that the introduction of Big Data and related technologies
will substantially change and improve delivery of medical care and healthcare decision making. In
the project proposed here we will explore how the use of routinely collected data (RCD) can be of
real benefit for healthcare decision-making. To achieve this objective, we will explore the technical,
legal and ethical ...
Structured output learning for healthcare applications KU Leuven
Machine learning has great application potential in healthcare. Yet many healthcare applications have data characteristics that make it difficult to apply standard machine learning methods. For example, patient outcomes can often be expressed in different ways and are difficult to summarize in one value. This requires the application of so-called structured output learning methods. Such methods are not yet widely used in practice, because it ...