Conceptual Framework for Hospital Bed Management in Industry 4.0 Context
[EN] Optimizing hospital bed management (HBM) is essential to balance capacity, reduce waiting times and ensure efficient patient flow. However, persis-tent challenges in real-time data integration, interdepartmental coordination, and adoption of Industry 4.0 (I4.0) technologies stand in the way of...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:riunet______::411abcb234c29b9c0d0b80f683cfdff6 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/235200 |
| Access Level: | acceso embargado |
| Palabra clave: | Hospital bed management Conceptual framework Systematic review Industry 4.0 Healthcare optimization |
| Sumario: | [EN] Optimizing hospital bed management (HBM) is essential to balance capacity, reduce waiting times and ensure efficient patient flow. However, persis-tent challenges in real-time data integration, interdepartmental coordination, and adoption of Industry 4.0 (I4.0) technologies stand in the way of progress in this field. This study proposes a conceptual framework for HBM, developed through a systematic revision of literature reviews. The framework categorizes key dimen-sions, integrating hospital-related factors, patient characteristics, objectives and performance metrics, decisions, modelling techniques and solution methods, with strategies and the role of I4.0 technologies. Unlike previous studies, it provides a structured and holistic perspective, emphasizing the role of digital health in opti-mizing decision making and resource allocation. The findings highlight research gaps in interoperability, solution methods, real-time optimization, and emphasize the need for scalable and resilient hospital management models. This framework serves as a foundation for future research and practical improvements in HBM. |
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