| Titre : | A Compartmental Model to Describe Acute Medical In-Patient Flow Through a Hospital. |
| Auteurs : | T. ALKARKHI, Auteur ; K. BYATT, Auteur |
| Type de document : | Document de travail |
| Editeur : | Rochester : S.S.R.N., 2024 |
| Format : | 32p., Tab., Graph |
| Langues: | Anglais |
| Catégories : |
[BDSP5] Etablissement sanitaire > Structure curative > Hôpital [BDSP5] Etudes méthodes et statistiques [NI] > Méthodologie > Modèle [BDSP5] Etudes méthodes et statistiques [NI] > Méthodologie > Processus > Entrée [BDSP5] Etudes méthodes et statistiques [NI] > Méthodologie > Processus > Sortie [BDSP5] Géographie politique > Monde > Europe > Iles Britanniques > Royaume Uni [BDSP5] Information & communication [NI] > Information > Nature information [NI] > Donnée statistique [BDSP5] Information & communication [NI] > Information > Nature information [NI] > Etude > Etude comparée [BDSP5] Organisation hospitalière > Gestion hospitalière > Indicateur gestion hospitalière [BDSP5] Protection sociale > Système santé [BDSP5] Système soins > Filière soins > Soins hospitaliers > Hospitalisation |
| Résumé : | Health care is becoming increasingly complex, especially in secondary care. Hospital bed numbers per capita in the United Kingdom (UK) are lower than many European countries and often represent the limiting factor in delivering secondary care. Mechanisms to improve the efficiency of their use (and reduce opportunity costs) are therefore important to managers. There have been attempts to model bed usage in departments (micro-level) and across health systems (macro-level), however so far, there have been few models developed allowing reliable description and analysis of hospital bed use across a whole hospital (looking at the interactions between parts of a hospital as patients move through) from admission to discharge or death.Patients with serious medical conditions (e.g. $COVID-19$) pass into, through, and out of, hospital. Considering the hospital as a multicompartment system, we will derive relevant equations to allow a description of these departments' dynamic relationships. These relationships are determined by many factors, some known, and many interdependent. We do not need to, and indeed cannot, know all of these factors (as needed for discrete event simulation, or agent-based modelling), but will merely look at the net changes between compartments (i.e. a ‘system dynamics’ approach). Under a stable model, we use data of bed usage from UK hospitals, as means of validation to the adapted methodology. |
| En ligne : | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4926023 |