S.H.B. van Dijk MSc BA (Sanne)

In 2021, I obtained a master’s degree in Epidemiology from Maastricht University. During my studies, I became fascinated by the field of prediction modelling.

For my PhD trajectory, I am involved in the RE-SAMPLE project (https://www.re-sample.eu/), which aims on composing a personalised self-management strategy for patients with chronic obstructive pulmonary disease (COPD) in combination with other chronic conditions. I will focus on establishing evidence of effective disease management for these patients, and evaluate the impact of RE-SAMPLE.

Faculty of Behavioural, Management and Social Sciences (BMS), Health Technology & Services Research (HTSR)

van Dijk, S. H. B. , Brusse-Keizer, M. G. J., Bucsán, C. C. , Doggen, C. , van der Palen, J. , & Lenferink, A. (2022). Differentiating acute heart failure from exacerbations of COPD: An AI-supported literature review. European respiratory journal, 60(Suppl. 66). https://doi.org/10.1183/13993003.congress-2022.1088

van Dijk, S. H. B. , Brusse-Keizer, M. G. J., Bucsán, C. C. , Doggen, C. , & van der Palen, J. (2022). Differentiating acute heart failure from exacerbations of COPD: An AI-supported literature review. Poster session presented at European Respiratory Society congress 2022, Barcelona, Spain.

van Dijk, S. H. B. , Brusse-Keizer, M. G. J., Bucsán, C. C. , Doggen, C. , van der Palen, J. , & Lenferink, A. (2022). Distinguishing acute heart failure from COPD exacerbations in COPD patients with acute dyspnoea: Integrating a supportive AI screening tool in the systematic literature review process. Poster session presented at WEON 2022, Nijmegen, Netherlands.

Bucsán, C. C. , Lenferink, A. , van Dijk, S. H. B., van Beurden, W., van der Valk, P. D. L. P. M. , Doggen, C. , van der Palen, J. , & Brusse-Keizer, M. G. J. (2022). Identifying predictors of acute exacerbations in COPD: a systematic review. Poster session presented at Dutch Lung Congress 2022, Utrecht, Netherlands.

van Dijk, S. H. B. , Brusse-Keizer, M. G. J., Bucsán, C. C. , Doggen, C. , van der Palen, J. , & Lenferink, A. (2022). Differentiating between acute heart failure and a COPD exacerbation – Will AI help us in reviewing the literature?. Poster session presented at Dutch Lung Congress 2022, Utrecht, Netherlands.

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RE-SAMPLE

AI-powered care for patients with COPD and other chronic illnesses

Over the course of four years (2021-2025), RE-SAMPLE will work to transform the healthcare journey of patients with COPD, and to set a standard of care for patients suffering from complex chronic conditions (CCC). RE-SAMPLE will use real-world data (RWD) to monitor COPD symptoms beyond scheduled medical check-ups. Such information will give doctors, caregivers and patients a unique insight into common, day-to-day triggers that can lead to health complications. The data and analyses will feed into the development of personalised treatment and a virtual companionship programme. RE-SAMPLE aims to mitigate the severity of complications and reduce their frequency. Our hope is that RE-SAMPLE’s approach to integrated care will help patients feel safer in-between medical visits, and equally, that patients are involved meaningfully in the management of their care.

+31534898866

+31534897475 (secretary)

s.h.b.vandijk@utwente.nl

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Technohal (building no. 18), room 3106
Hallenweg 5
7522NH Enschede
The Netherlands

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University of Twente
Faculty of Behavioural, Management and Social Sciences
Technohal 3106
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Behavioural, Management and Social Sciences (BMS), Health Technology & Services Research (HTSR)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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