P.M. Stassen - Marx

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

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

van Doorn, W. P. T. M., Helmich, F., van Dam, P. M. E. L., Jacobs, L. H. J., Stassen, P. M., Bekers, O., & Meex, S. J. R. (2024). Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study. Journal of Applied Laboratory Medicine, 9(2), 212-222. Article jfad094. https://doi.org/10.1093/jalm/jfad094

van Dam, P. M. E. L., van Doorn, W. P. T. M., van Gils, F., Sevenich, L., Lambriks, L., Meex, S. J. R., Cals, J. W. L., & Stassen, P. M. (2024). Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department. Scandinavian Journal of Trauma Resuscitation & Emergency Medicine, 32(1), Article 5. https://doi.org/10.1186/s13049-024-01177-2

van Dam, P. M. E. L., Lievens, S., Zelis, N., van Doorn, W. P. T. M., Meex, S. J. R., Cals, J. W. L., & Stassen, P. M. (2023). Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study. Annals of Medicine, 55(2), Article 2290211. https://doi.org/10.1080/07853890.2023.2290211

Wanrooij, V. H. M., Cobussen, M., Stoffers, J., Buijs, J., Bergmans, D. C. J. J., Zelis, N., & Stassen, P. M. (2023). Sex differences in clinical presentation and mortality in emergency department patients with sepsis. Annals of Medicine, 55(2), Article 2244873. https://doi.org/10.1080/07853890.2023.2244873