Research Filip Haegdorens

Abstract

Ensuring patient safety in hospitals is a critical concern, with research indicating that 3-6% of all hospital deaths may be preventable due to systemic healthcare failures. Early detection of patient deterioration is essential for timely intervention and improved outcomes. Traditional methods, such as periodic vital sign measurements and clinical assessments, often miss subtle signs of deterioration. This gap highlights the need for innovative approaches to patient monitoring. Recent advancements in artificial intelligence (AI) and machine learning (ML) offer promising solutions. AI technologies can analyse large datasets to detect patterns and provide real-time insights, potentially outperforming human capabilities in various healthcare applications. This feasibility study aims to explore the potential of using video and audio recordings to detect early signs of patient deterioration. By capturing and analysing patient data, we seek to identify visual and auditory clinical cues associated with deterioration. The primary objective of this study is to assess the feasibility of capturing video and audio data of patients while they are in bed in a hospital setting, which can then be used to train a machine learning algorithm to detect signs of patient deterioration.

Researcher(s)

• Promoter: Haegdorens Filip

Research team(s)

• Centre for Research and Innovation in Care (CRIC)

Project type(s)

• Research Project

Abstract

The SIMNPACT project aims to empower healthcare education in Europe by advancing interprofessional simulation education (ISE) for nursing and medicine undergraduates. Healthcare educators and practitioners will be equipped with a research-informed SIMNPACT-toolbox and associated training opportunities to successfully implement interprofessional simulation education. The goal is to promote collaboration, innovation and inclusive educational environments that improve healthcare quality across Europe

Researcher(s)

• Promoter: Haegdorens Filip

Research team(s)

• Centre for Research and Innovation in Care (CRIC)

Project type(s)

• Research Project
• Education Project

Abstract

The care and welfare sector in the Flemish-Dutch border region has been facing significant challenges for several years. With the growing demand for care and an aging population, the shortage of qualified workers is expected to increase exponentially in the future. According to the Care and Welfare (NL) forecast model, the province of North Brabant is projected to experience a shortage of nearly 17,000 care workers by 2030. Additionally, the province of Antwerp is already facing a 15% shortage in filling open care vacancies, as reported by VDAB (Flemish Employment Service). Furthermore, Verso, an employers' federation, has calculated that the social profit sector in Flanders will require 46,000 new employees annually until 2026. Apart from the quantitative challenges, there are also qualitative issues where the skills provided by care professionals do not adequately align with the changing competency requirements in the field. This issue was highlighted in the Interreg VL-NL project ZORO, which emphasized the need for technological agility in care innovations, digitalization, and intra- and interprofessional collaboration. Research indicates that the work environment of healthcare providers significantly affects job satisfaction, with care environments that prioritize interprofessional collaboration experiencing fewer professionals considering leaving the profession. Additionally, there is a demand for support in developing the competencies required for digitalized care. By equipping (future) caregivers with tools to enhance their technological agility, we can empower them in their practice, foster a positive attitude toward the care profession, improve their well-being, and indirectly impact workforce retention and recruitment. To address these challenges, a key element is to provide (future) care providers with opportunities to learn and develop within robust learning environments that strongly emphasize the connection between education and the labor market, interprofessional collaboration, and technological agility. In response to these challenges and opportunities, our project aims to facilitate strong cross-border cooperation between educational institutions. The goal is to strengthen the connection between education and the needs of the care labor market by establishing hybrid learning environments. Based on the identified opportunities, we envision a significant impact by offering enhanced support to (future) care providers through powerful simulation environments and training programs that prioritize the connection between education and the labor market, interprofessional collaboration, and the evolving nature of (highly) technological care settings.

Researcher(s)

• Promoter: Haegdorens Filip

Research team(s)

• Centre for Research and Innovation in Care (CRIC)

Project type(s)

• Research Project

Abstract

There is a growing staff shortage in healthcare. Many healthcare professionals want to leave healthcare or are doing so. Together we care focuses on retaining healthcare professionals and strengthening their adaptive & innovative capacity. This cross-border Interreg project is a follow-up to the previous projects Stay @ work and Care2Adapt. Specifically, this project offers several free pathways for healthcare and welfare organisations: Pathway Team Champions: for team members working bottom-up to increase resilience. Pathway Leadership to captivate and engage: for managers working on developing a positive leadership style. Pathway Simuleerkracht: for nurses starting a training programme to increase resilience Pathway Care2Adapt: for employees who will fulfil a bridging function between innovation and the workplace. We are also developing an instrument to measure, among other things, resilience of individuals and teams, allowing more data-driven (to reality) action to be taken. In addition to contextual data and data from self-reports, this application will also integrate data from activity trackers, providing additional information on physiological parameters around stress and resilience of healthcare staff and teams.

Researcher(s)

• Promoter: Franck Erik
• Co-promoter: Haegdorens Filip
• Co-promoter: Van Bogaert Peter

Research team(s)

• Centre for Research and Innovation in Care (CRIC)

Project website

Project type(s)

• Research Project

Abstract

This project led by the University of Antwerp in collaboration with Netwerk Verpleegkunde, VVVS (Vlaamse Vereniging van Verpleegkundigen Spoedgevallenzorg), and AFIU (Association Francophone des Infirmiers d'Urgence), is dedicated to developing a National dataset for process and outcome data of emergency services in Belgium. This initiative aims to significantly enhance the operational efficiency and effectiveness of emergency services. By creating a validated Dutch codebook for a comprehensive database, the project will enable more streamlined and accurate data collection and analysis, ultimately leading to improved emergency care and patient outcomes in Belgium.

Researcher(s)

• Promoter: Haegdorens Filip

Research team(s)

• Centre for Research and Innovation in Care (CRIC)

Project type(s)

• Research Project