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A Two-Stage Operating Room Allocation Framework for Reducing Surgical Waiting Lists in Public Hospitals — arXiv:2608.04978

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.04978
License (as archived): CC0-1.0
Archived: 2026-10-31T11:38:26.009Z
SHA-256 of the archived text: 975ba1148fe769a355506f72b32492abeb51b185fb3f7013f9659022adc2cde3
Stable URL of this page: https://metraipolis.com/documento/dc_ea3b0c33232e

How to cite

A Two-Stage Operating Room Allocation Framework for Reducing Surgical Waiting Lists in Public Hospitals — arXiv:2608.04978 — arXiv (en), https://arxiv.org/abs/2608.04978 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ea3b0c33232e (Metraipolis archive dc_ea3b0c33232e, sha256 975ba1148fe769a355506f72b32492abeb51b185fb3f7013f9659022adc2cde3)

BibTeX

@misc{dcea3b0c33232e,
  title = {A Two-Stage Operating Room Allocation Framework for Reducing Surgical Waiting Lists in Public Hospitals — arXiv:2608.04978},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.04978},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ea3b0c33232e; sha256 975ba1148fe769a355506f72b32492abeb51b185fb3f7013f9659022adc2cde3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.04978. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Operating-room allocation is a major challenge for public hospitals with limited surgical capacity and large elective waiting lists. This work proposes a two-stage operating-room allocation framework for specialty-block scheduling environments. The methodology combines a mixed-integer linear programming model for medical specialty block allocation with a priority-based patient allocation procedure. The framework was evaluated through one-week and multi-week simulation scenarios using parameters estimated from historical surgical and waiting-list data. The proposed methodology was compared against an integrated mixed-integer linear programming baseline adapted from the literature under realistic operational disruptions, including failed patient confirmations and surgery suspensions. Results show that the proposed framework achieves a more balanced distribution between offered and demanded surgical time across specialties while maintaining high operating-room utilization and substantially lower computational times than the integrated baseline. In the 20-week scenario, the proposed methodology achieved lower waiting times and operated a larger number of patients while preserving operational flexibility. These results suggest that decomposition-based operating-room allocation strategies provide a practical and computationally efficient alternative for reducing surgical waiting lists in public hospitals.

Tema degli esploratori: matematica e informatica teorica (retro-catalogo arXiv: annunci del 2026-08-06 in math.OC).
Categorie arXiv: Optimization and Control (math.OC).
Pagina del lavoro: https://arxiv.org/abs/2608.04978 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-31T11:28:34.331Z dalla pagina https://arxiv.org/catchup/math.OC/2026-08-06?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).