Route Planning for Intra-Hospital Patient Transportation Using Metaheuristics and Mixed Integer Linear Programming...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece.
Healthcare processes are complex and involve uncertainties to influence the service quality and health of patients. Patient transportation takes place between the hospitals or between the departments within the hospital (i.e., Inter- or IntraHospital Transportation respectively). The focus of our pa...
| Publicado en: | Studies in Health Technology & Informatics Vol. 316; pp. 993 - 998 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179286408&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179286408 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2024 vid: 316 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 179286408 179286408 179286408 10.3233/SHTI240577 179286408 ppf: 993 ppct: 5 formats: tig: atl: Route Planning for Intra-Hospital Patient Transportation Using Metaheuristics and Mixed Integer Linear Programming...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece. aug: au: KARTHIKEYAN, Saran POTLURI, Sasanka affil: Institute for Medical Statistics, Informatics, and Data Science, Jena University Hospital, Bachstraße 18, 07743, Jena, Thüringen, Germany. sug: subj: Transfer, Discharge Transportation of Patients Planning Techniques Algorithms Utilization Models, Theoretical Utilization Programming Languages Utilization Human Greece Rules and Regulations Workload Waiting Lists Retrospective Design Descriptive Statistics Congresses and Conferences Greece Time Factors ab: Healthcare processes are complex and involve uncertainties to influence the service quality and health of patients. Patient transportation takes place between the hospitals or between the departments within the hospital (i.e., Inter- or IntraHospital Transportation respectively). The focus of our paper is route planning for transporting patients within the hospital. The route planning task is complex due to multiple factors such as regulations, fairness considerations (i.e., balanced workload amongst transporters), and other dynamic factors (i.e., transport delays, wait times). Transporters perform the physical transportation of patients within the hospital. In principle, each job allocation respects the transition time between the subsequent jobs. The primary objective was to determine the feasible number of transporters, and then generate the route plan for all determined transporters by distributing all transport jobs (i.e., from retrospective data) within each shift. Secondary objectives are to minimize the sum of total travel time and sum of total idle time of all transporters and minimize the deviations in total travel time amongst transporters. Our method used multi-staged Local Search Metaheuristics to attain the primary objective. Metaheuristics incorporate Mixed Integer Linear Programming to allocate fairly the transport jobs by formulating optimization constraints with bounds for satisfying the secondary objectives. The obtained results using formulated optimization constraints represent better efficacy in multi-objective route planning of Intra-Hospital Transportation of patients. pubtype: Academic Journal doctype: algorithm equations & formulas proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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