The candidate will work within the Mobile Health Unit (UHasselt, ZOL, Jessa) and closely collaborate with international partners from the Netherlands and Germany. The core of the research consists of (1) analyzing retrospective and prospective clinical datasets to map care pathways and risk profiles, (2) supporting in the development and validation of personalized early warning scores (e.g., Individual Reference Intervals), and (3) evaluating these models within a multicenter clinical study (RCT) in a hybrid care context. The candidate will closely collaborate with colleagues within the Data Science Institute.
Within the VITAL PhD project, the candidate will be responsible for a combination of research, development, and implementation activities at the intersection of clinical oncology, digital health, and data science. The main tasks include:
Retrospective clinical trials
• Analyzing and interpreting existing retrospective data
• Setting up new retrospective trials within the consortium
• Collaborating with the DSI colleagues to enable feature selection to improve the prediction model
Prospective clinical trials
• Setting up multiple prospective clinical trials, including a multicenter RCT
• Independently preparing ethical and FAMHP dossiers to obtain approval prior to initiating the trials
Digital health co-creation towards implementation
• Mapping of patient care pathways
• Organizing co-creation sessions
• Identification of risk profiles associated with complications, hospital admissions, and treatment outcomes
Health-economic evaluation
• Identifying and collecting health-economic related information in the clinical trials
Interdisciplinary collaboration
• Participation to international meetings as part of the project’s consortium
• Collaborate with various partners (clinical, technical, financial)
Scientific output & dissemination
• Publication of results in peer-reviewed international journals.
• Presentation of findings at scientific conferences.
• Contribution to knowledge transfer activities within clinical and academic settings
The Limburg Clinical Research Center (LCRC) is a collaboration between Hasselt University, Jessa Ziekenhuis, and Ziekenhuis Oost-Limburg (ZOL). The center focuses on patient-centered clinical scientific research, aiming to improve healthcare by combining academic research with clinical practice. The Mobile Health Unit (MHU) is a multidisciplinary center of expertise within the Limburg Clinical Research Center, where collaboration around innovative digital healthcare is central. The MHU focuses on the development, validation, and implementation of mobile and remote monitoring applications, with the goal of making care more personalized, proactive, and closer to the patient. By combining clinical expertise, data science, and technological innovation, the MHU translates research into concrete applications in healthcare practice.
Within this stimulating environment, a motivated candidate is sought to carry out a PhD. This PhD position is part of the international VITAL project, which focuses on the development, validation, and implementation of personalized remote monitoring in oncological care, with a specific focus on lung cancer.
Lung cancer patients in the Meuse–Rhine Euroregion currently face reactive follow-up care, where complications (on treatment) are often only detected once they become clinically manifest, leading to avoidable emergency admissions and hospitalizations. This PhD aims to contribute to the transition toward a proactive care model through the use of continuous vital parameter monitoring and personalized predictive models.
In addition, the PhD will contribute to the implementation of this innovative care model, including integration into clinical workflows, evaluation of usability and acceptance by patients and healthcare providers, and support for health economic analyses.
This PhD trajectory is positioned at the intersection of clinical research, data science, and digital health, and contributes to the development of scalable, patient-centered care models that improve quality of life and reduce pressure on healthcare systems.