The effectiveness, equity and explainability of health service resource allocation—with applications in kidney transplantation & family planning
As this may more widely apply to health resource allocation decisions, explainable analytics, which are more likely to be trusted and used, might better enable progress towards SDG3 for now. Future research on explainability, also in relation to equity and fairness of allocation policies, can help deliver on the promise of advanced predictive and prescriptive analytics.
Authors
- Harwin de Vries (ORCID: https://orcid.org/0000-0002-4012-2913)
- Nieves Valdés (ORCID: https://orcid.org/0000-0002-0197-876X)
- Felipe Simón (ORCID: https://orcid.org/0000-0002-2653-9798)
- Joris van de Klundert (ORCID: https://orcid.org/0000-0003-4151-5089)
- Francisco Pérez-Galarce
Institutions
- University of Minnesota (US)
- Pontificia Universidad Católica de Chile (CL)
- Adolfo Ibáñez University (CL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Frontiers in Health Services
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/frhs.2025.1545864
- Citations
- 1
- Primary Topic
- Organ Donation and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 1.88