Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer
Hospitalization risk of cancer patients admitted to the ED can be predicted using routinely collected EHR data, which could aid in optimizing ED patient flow and ensuring timely provision of oncological services.
Authors
- David van Klaveren (ORCID: https://orcid.org/0000-0002-2096-606X)
- Jelmer Alsma (ORCID: https://orcid.org/0000-0002-2808-1514)
- Joachim G.J.V. Aerts (ORCID: https://orcid.org/0000-0001-6662-2951)
- Jacoline E. C. Bromberg (ORCID: https://orcid.org/0000-0002-3830-7142)
- Hester F. Lingsma (ORCID: https://orcid.org/0000-0003-2063-9533)
- Z Kaplan (ORCID: https://orcid.org/0000-0003-1620-1811)
- Rob J.C.G. Verdonschot (ORCID: https://orcid.org/0000-0003-4124-256X)
- Monique M.E.M. Bos (ORCID: https://orcid.org/0000-0002-1913-483X)
- Jason G.A. den Duijn (ORCID: https://orcid.org/0009-0000-6270-9611)
- N. Wlazlo
Institutions
- Erasmus MC (NL)
- Netherlands Comprehensive Cancer Organisation (NL)
- Erasmus MC Cancer Institute (NL)
Publication Details
- Journal
- ESMO Real World Data and Digital Oncology
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1016/j.esmorw.2025.100141
- Primary Topic
- Palliative Care and End-of-Life Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.00