Patricia Stassen

Associate professor

I completed my medical school in Maastricht in 1995. Then I was trained in internal medicine and specialized in nephrology in UMCG, where I also completed my PhD thesis on Wegener’s disease. Since 2008, I have worked at MUMC+, where I also started/designed a new internal medicine specialization: acute medicine. Since 2010, I have worked as chief of acute internal medicine in addition to practicing as an all-round clinician and engaging in student, nurse and resident education within the faculty of medicine and health. I was appointed as an associate professor (mixed profile) in 2022.

My area of interest is acute internal medicine. I concentrate on all kinds of diseases ranging from sepsis to cardiovascular diseases, and include not only the emergency department (ED) but also the trajectory before (general practitioner, EMS, acute internal medicine, emergency medicine) and after the ED (MCU/ICU).

The aim of my research is to improve acute care and to achieve a short laboratory-to-bed-time. In addition, my aim is to involve students and to improve their skills in both science and acute medicine. Currently, I am working on the prediction of poor outcomes in ED patients using ML technology, on an exploration of the acute care trajectory and on the added value of simulation techniques for residents in the acute care.

I am member of the national research consortium in acute medicine that organizes short but original studies called “flash mobs” across the country. I also coordinate studies in Limburg in collaboration with acute internists and emergency physicians. My goal is to work with all kinds of professionals interested in acute medicine at MUMC/FHML, including intensivists, general practitioners, education/simulation experts, clinical chemistry specialists and cardiologists.

Until now, I have been a co-promotor of 7 PhD students, and I currently supervise 4 PhD students.

Dept of Internal Medicine
P. Debyelaan 25, 6229 HX Maastricht
PO Box 616, 6200 MD Maastricht

Room number: 5C2025
T: +31(0)43 387 50 05

  • 2025
    • Theunissen, M., Lardenoye, S., van den Beuken-van Everdingen, M. H. J., & Stassen, P. M. (2025). The surprise question: predictive accuracy in an unselected emergency department population - a prospective study in nurses and physicians. Annals of Medicine, 57(1), Article 2529575. https://doi.org/10.1080/07853890.2025.2529575
    • Van Dam, P. M. E. L., Van Doorn, W. P. T. M., Sevenich, L., Lambriks, L., Cals, J. W. L., Bekers, O., Stassen, P. M., & Meex, S. J. R. (2025). Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trial. Nature Communications, 17(1), Article 242. https://doi.org/10.1038/s41467-025-66947-7
    • van Baar de Knegt, S. M. E., Uffen, J. W., de Hond, T. A. P., Stassen, P. M., Zelis, N., & Kaasjager, K. A. H. (2025). Predicting 30-day mortality in emergency department patients with suspected infection: external validation of the RISE UP score in a single tertiary centre. BMJ Open, 15(10), Article e096528. https://doi.org/10.1136/bmjopen-2024-096528
    • Zelis, N., Westerman, D., Schevers, A., Eldik, N., & Stassen, P. M. (2025). Telemonitoring starting in the emergency department as an alternative to acute hospital admission: A prospective pilot study focusing on patient preferences and first experience. PLOS Digital Health, 4(7), Article e0000962. https://doi.org/10.1371/journal.pdig.0000962
    • Claassen, L., Stassen, P. M., Boumans, T. J. T., Barten, D. G., Kremers, M. N. T., Hermans, A. M. E., Zelis, N., Cals, J. W. L., & Latten, G. H. P. (2025). Characteristics of Dutch ED patients and their journey through the acute care chain: A province-wide flash-mob study. PLOS ONE, 20(4), Article e0318510. https://doi.org/10.1371/journal.pone.0318510
    • Appelboom, Y., Groenen, Y., Notten, D., De Bruin, A., Buijs, J., Haak, H. R., Broggreve, H. F., Lambriks, L., & Stassen, P. M. (2025). Experienced cognitive load in the emergency department. A prospective study. PLOS ONE, 20(1), Article e0314052. https://doi.org/10.1371/journal.pone.0314052
  • 2024
    • Wynants, L., Broers, N., Platteel, T., Venekamp, R., Barten, D., Leers, M., Verheij, T., Stassen, P., Cals, J., & de Bont, E. (2024). Development and validation of a risk prediction model for hospital admission in COVID-19 patients presenting to primary care. European Journal of General Practice, 30(1), Article 2339488. https://doi.org/10.1080/13814788.2024.2339488
    • Weijers, J., Prins, M. L. M., van Dam, D. G. H. A., van Nieuwkoop, C., Alsma, J., Haak, H. R., V Uffen, J. W., Kaasjager, K. A. H., Kremers, M. N. T., Nanayakkara, P. W. B., Stassen, P. M., Groeneveld, G. H., & AcuteCare@Home Study Group (2024). Patients' Perspectives and Feasibility of Home Monitoring in Acute Care: The AcuteCare@Home Flash Mob Study. Telemedicine and E-health, 30(10), 2563-2572. https://doi.org/10.1089/tmj.2024.0166
    • van Dam, P. M. E. L., Pena, R. E. L., Mommertz, J. A., Borggreve, H. F., van Loon, N. P. H., Zelis, N., Westerman, D., Henry, R. M. A., Posthouwer, D., Cals, J. W. L., & Stassen, P. M. (2024). Acute internal medicine physicians' clinical intuition based on acute care telephone referral: A prospective study. PLOS ONE, 19(6), Article e0305566. https://doi.org/10.1371/journal.pone.0305566
    • Claassen, L., Ritter, L. M., Latten, G. H. P., Zelis, N., Cals, J. W. L., & Stassen, P. M. (2024). From symptom onset to ED departure: understanding the acute care chain for patients with undifferentiated complaints. International Journal of Emergency Medicine, 17(1), Article 55. https://doi.org/10.1186/s12245-024-00629-x