Bio

I was trained as a medical doctor, specialized in pediatrics and in immunology.

Expertise

I focus on everything that is ‘unusual’, from uncommon adverse events of promising treatments to the recognition of rare diseases by non-expert healthcare professionals. For this, I use two very different but – I think – complementary approaches: patient-centered qualitative research on the organization and quality of healthcare, and personalized quantitative research on data-driven solutions for automated support enabling timely recognition of ‘the unusual’. In both topics, I collaborate with data scientist to support development in the field. Do you want to participate in this interdisciplinary research, combining conventional and innovative approaches? Then contact me, and we'll discuss how you can join this challenging effort!

Recent publications

  1. Curation and expansion of human phenotype ontology for defined groups…

    Haimel, M., Pazmandi, J., Jiménez Heredia, R., Dmytrus, J., Köstel Bal, S., Zoghi, S., van Daele, P., Briggs, T. A., Wouters, C., Bader-Meunier, B., Aeschlimann, F. A., Caorsi, R., Eleftheriou , D., Hoppenreijs, E., Salzer, E., Bakhtiar, S., Derfalvi, B., Saettini , F., Kusters, M. A. A., ... Boztug, K. (2022). Curation and expansion of human phenotype ontology for defined groups of inborn errors of immunity. Journal of Allergy and Clinical Immunology, 149(1), 369-378.
  2. Protocol for the unclassified primary antibody deficiency (unPAD) stu…

    Janssen, L. M. A., Reijnen, I. C. G. M., Milito, C., Edgar, D., Chapel, H., & De Vries, E. (2022). Protocol for the unclassified primary antibody deficiency (unPAD) study: Characterization and classification of patients using the ESID online registry. PLOS ONE, 17(3), [e0266083].
  3. The degree of service modularity: Implications from complex healthcar…

    Peters, V., Meijboom, B., Caspers, E., Bunt, J. E., Bok, V., Van Steenbergen, M., de Winter, P., & de Vries, E. (2022). The degree of service modularity: Implications from complex healthcare services. 1-10. Paper presented at EurOMA 2022, Berlin, Germany.
  4. Machine learning used to compare the diagnostic accuracy of risk fact…

    Stocker, M., Daunhawer, I., Van Herk, W., El Helou, S., Dutta, S., Schuerman, F. A. B. A., Van Den Tooren-de Groot, R. K., Wieringa, J. W., Janota, J., Van Der Meer-Kappelle, L. H., Moonen, R., Sie, S. D., De Vries, E., Donker, A. E., Zimmerman, U., Schlapbach, L. J., De Mol, A. C., Hoffmann-Haringsma, A., Roy, M., ... Vogt, J. E. (2022). Machine learning used to compare the diagnostic accuracy of risk factors, clinical signs and biomarkers and to develop a new prediction model for neonatal early-onset sepsis. Pediatric Infectious Disease Journal, 41(3), 248-254.
  5. How service modularity can provide the flexibility to support person-…

    Bartels, E. A., Meijboom, B., Nahar, L. M. W., & de Vries, E. (2021). How service modularity can provide the flexibility to support person-centered care and shared decision-making. BMC Health Services Research, 21(1), [1245].

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