A new review paper published on arXiv explores the application of industrial engineering and operations research (OR) in elderly care. The paper categorizes existing literature into home healthcare operations, polypharmacy management, and clinical chronotherapy, noting a shift from static models to AI-integrated dynamic frameworks. However, it highlights a significant gap where operational efficiencies like staff routing are not effectively translated into measurable clinical outcomes, and the transition between hospital and community care remains underexplored. The authors propose a conceptual framework to bridge this gap by focusing on integrated, multi-level decision-making and leveraging technologies like digital twins and large language models to improve patient-level health outcomes. AI
IMPACT Suggests a framework for integrating AI and digital twins to improve clinical outcomes in elderly care, moving beyond operational efficiencies.
RANK_REASON The item is a review paper published on arXiv discussing the application of industrial engineering and operations research in elderly care, including the use of AI and digital twins. [lever_c_demoted from research: ic=1 ai=0.7]
- arXiv
- digital twin
- elderly care
- industrial engineering
- large-language models
- operations research
- Shayan Farhang Pazhooh
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