prof. dr. Steffen Pauws PDEng

Bio

I am a Professor in Risk Modelling and Communication in Healthcare at Tilburg University but also a driving and pioneering force in Research & Innovation paths for Philips Ambulatory Healthcare business and markets. This has led to business transfers (20+) and propositions in the market. I worked with clinical partners from renowned hospitals and clinics in the US, UK, Japan, India, Singapore, and the Netherlands. I have authored more than 100 scientific publications and hold close to 25 patents and more than 40 patent applications on Music Technology and Healthtech. I am a seasoned grant writer: I coordinated or co-wrote 15 EU and 9 national submitted grant proposals.

Expertise

My area of expertise are in

• Risk modelling in Healthcare
• Clinical implementation of risk models in patient pathways - System integration
• Health communication in Healthcare
• Conversational AI
• Statistical analyses 
• Method in data science and AI

Teaching

My teaching involves:

• Data science in healthcare
• Health communication

Collaboration

I closely collaborate with

• Philips
• IKNL
• ETZ
• DFKI

Recent publications

1. Comparison of two automated oxygen controllers in oxygen targeting in…

   Salverda, H. H., Dekker, J., Lopriore, E., Dargaville, P. A., Pauws, S. C., & te Pas, A. B. (2023). Comparison of two automated oxygen controllers in oxygen targeting in preterm infants during admission: an observational study. Archives of Disease in Childhood. Fetal and Neonatal Edition, 108(4), 394-399.

2. Disclosing statistical uncertainty associated with personalized quant…

   Vromans, R., van Goor, L., & Pauws, S. (2023). Disclosing statistical uncertainty associated with personalized quantitative cancer risk information: Effects on risk perceptions and cancer worry. Abstract from Etmaal van de Communicatiewetenschap, Enschede, Netherlands.

3. A new three-step method for using inverse propensity weighting with l…

   Clouth, F. J., Pauws, S., Mols, F., & Vermunt, J. K. (2022). A new three-step method for using inverse propensity weighting with latent class analysis. Advances in Data Analysis and Classification, 16(2), 351-371.

4. Causal inference in latent class analysis in the presence of differen…

   Clouth, F., Pauws, S., & Vermunt, J. (2022). Causal inference in latent class analysis in the presence of differential item functioning. In IMPS 2022 International Meeting of the Psychometric Society

5. 117 Medicines optimisation before discharge in patients admitted to h…

   Cuthbert, J., Brown, O., Pellicori, P., Dobbs, K., Bulemfu, J., Kazmi, S., Sokoreli, I., Pauws, S., Riistama, J. M., Cleland, J., & Clark, A. L. (2022). 117 Medicines optimisation before discharge in patients admitted to hospital with heart failure. Heart, 108, A87-A89.