A5075943046- Patient-Provider Communication in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- Palliative Care and End-of-Life Issues
- Patient Satisfaction in Healthcare
- Artificial Intelligence in Healthcare and Education
- Economic and Financial Impacts of Cancer
- Global Cancer Incidence and Screening
- AI in cancer detection
- Health Literacy and Information Accessibility
- Radiomics and Machine Learning in Medical Imaging
- Ethics in Clinical Research
- Male Breast Health Studies
- Digital Mental Health Interventions
- BRCA gene mutations in cancer
- Mobile Health and mHealth Applications
- Privacy-Preserving Technologies in Data
- COVID-19 diagnosis using AI
- Clinical practice guidelines implementation
- Traumatic Brain Injury and Neurovascular Disturbances
- Electronic Health Records Systems
- Telemedicine and Telehealth Implementation
- Machine Learning in Healthcare
- Healthcare Systems and Technology
- Advanced Radiotherapy Techniques
- Health and Medical Research Impacts
Maastricht University
2021-2024
Maastricht University Medical Centre
2018-2024
Maastro Clinic
2019-2022
Radiotherapie Groep
2021
European Society for Therapeutic Radiology and Oncology
2020
In anticipation of potential future pandemics, we examined the challenges and opportunities presented by COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) predictive models can support both patients clinicians in managing subsequent infectious diseases, legislators policymakers could these efforts, to bring learning healthcare system (LHS) from guidelines real-world implementation. report chronicles trajectory pandemic, emphasizing diverse data sets generated...
Background: Making informed decisions about clinical trial participation can be overwhelming for patients due to the complexity of information, potential risks and benefits, emotional burden a recent diagnosis. Patient decision aids (PDAs) simplify this process by providing clear information on treatment options, empowering actively participate in shared decision-making (SDM) with their doctors. While PDAs have shown promise various healthcare contexts, use trials, particularly form...
Patient decision aids (PDAs) can support the treatment making process and empower patients to take a proactive role in their pathway while using shared decision-making (SDM) approach participatory medicine possible. The aim of this study was develop PDA for prostate cancer that is accurate user-friendly. We followed user-centered design consisting five rounds semi-structured interviews usability surveys with topics such as informational/decisional needs users requirements PDAs. Our user-base...
Introduction Shared decision-making (SDM) refers to the collaboration between patients and their healthcare providers make clinical decisions based on evidence patient preferences, often supported by decision aids (PDAs). This study explored practitioner experiences of SDM in a context where has been successfully implemented. Specifically, we focused practitioners’ perceptions as paradigm, factors influencing implementation success, outcomes. Methods We used qualitative approach examine 10...
Abstract Background Lung cancer treatment decisions are typically made among clinical experts in a multidisciplinary tumour board (MTB) based on data and guidelines. The rise of artificial intelligence cultural shifts towards patient autonomy changing the nature decision‐making personalized treatments. This can be supported by decision support systems (CDSSs) that generate information as basis for shared (SDM). Little is known about lung patients' potential SDM CDSSs. aim this study to...
The aim of this study was to develop and evaluate a proof-of-concept open-source individualized Patient Decision Aid (iPDA) with group patients, physicians, computer scientists. iPDA developed based on the International Standards (IPDAS). A previously published questionnaire adapted used test user-friendliness content iPDA. contained 40 multiple-choice questions, answers were given 5-point Likert Scale (1–5) ranging from “strongly disagree” agree.” In addition questionnaire, semi-structured...
Prophylactic cranial irradiation (PCI) offers extensive-stage small-cell lung cancer (ES-SCLC) patients a lower chance of brain metastasis and slightly longer survival but is associated with short-term decline in quality life due to side-effects. This tradeoff between makes PCI suitable for shared decision-making (SDM), where clinicians make treatment decisions together based on clinical evidence patient preferences. Despite recent practice guidelines recommending SDM ES-SCLC, as well the...
Abstract Background Shared decision-making (SDM) aims to empower patients take an active role in their treatment choices, supported by clinicians and patient decision aids (PDAs). The purpose of this study is explore barriers possible facilitators SDM a PDA the prostate cancer trajectory. In process we identify actions that organizations individuals can support implementation practice. Methods We use Ottawa Model Research Use as framework determine PDAs from perspective clinicians....
Background: Shared decision-making (SDM) aims to empower patients take an active role in their treatment choices, supported by clinicians and patient decision aids (PDAs). The purpose of this study is explore barriers possible facilitators SDM a PDA the prostate cancer trajectory. In process we identify actions that organizations individuals can support implementation practice. Methods: We use Ottawa Model Research Use as framework determine PDAs from perspective clinicians. Semi-structured...