Efficient Route Plan for Intra-Hospital Patient Transport Using Multi-Modal Optimization Methods...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.

Patient transportation within departments (i.e., Intra-Hospital) by hospital transporters involves frequent operations, and their outcomes impact multiple stakeholders. Stakeholders include patients, healthcare and medical professionals, and hospital managers. Hospital managers in the transportation...

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Publicado en:Studies in Health Technology & Informatics Vol. 336; pp. 1715 - 1720
Autores principales: KARTHIKEYAN, Saran, SPRECKELSEN, Cord, POTLURI, Sasanka
Formato: equations & formulas proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2026
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      pub: Sage Publications Inc.
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        atl: Efficient Route Plan for Intra-Hospital Patient Transport Using Multi-Modal Optimization Methods...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
      aug:
        au:
          KARTHIKEYAN, Saran
          SPRECKELSEN, Cord
          POTLURI, Sasanka
        affil: Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Bachstrasse 18, Haus 1, D-07743, Jena, Germany.
      sug:
        subj:
          Algorithms Utilization
          Transfer, Intrahospital Administration
          Planning Techniques
          Congresses and Conferences Italy
          Italy
          Human
          Empirical Research
          Decision Support Systems, Clinical
          Simulations
          Personnel Staffing and Scheduling Information Systems
          Stakeholder Participation
          Retrospective Design
          Record Review
          Ergonomics
          Data Analysis
          Workload
          Automation
          Transfer, Intrahospital Economics
          Patient Safety
          Patient Handling
          Organizational Efficiency
          Time
          Collaboration
          Descriptive Statistics
      ab: Patient transportation within departments (i.e., Intra-Hospital) by hospital transporters involves frequent operations, and their outcomes impact multiple stakeholders. Stakeholders include patients, healthcare and medical professionals, and hospital managers. Hospital managers in the transportation department coordinate patient transport tasks. Each hospital has specific requirements and complies with regulations (e.g., Labor and Data Protection). Uncertain situations (i.e., task delays, new tasks, or task cancellations) affect multiple stakeholders and service quality. Thus, route planning for Intra-Hospital Patient Transport is complex, multi-objective, and non-continuous, which ensures fair workload distribution for high-quality service. The objectives are to optimize the number of transporters and the parameters (i.e., travel and idle times and their statistical measures) for efficient route plans with maximal operational flow on each shift. Our work employs multimodal methods (i.e., a combination of metaheuristics and Discrete Event Simulation) with perceptible strategies (i.e., Mixed Integer Programming and scoring strategy) to improve automated route plans. Our methods account for uncertainties and practical characteristics derived from retrospective data. Our empirical study compares the performance of multimodal methods across different data sets extracted from one-month retrospective data provided by the hospital. The empirical results show that Discrete Event Simulation provides 45% - 65% computationally fast solutions. Thus, multimodal optimization methods guided by our perceptible strategies build statistical models for each data set, considering multiple objectives to support hospital managers by automating efficient route plans.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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