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    "headline": "The Bed Pressure Enters the Discharge Model",
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    "dek": "Operational workload and admission flow added independent signals to a multimodal readmission-risk model trained on 20,000 ICU stays.",
    "summary": "Operational workload and admission flow added independent signals to a multimodal readmission-risk model trained on 20,000 ICU stays.",
    "body_text": "ICU discharge decisions reflect both patient state and hospital capacity, but many models represent only the patient. This system combines cleaned progress notes, departmental workload, admission flow, vital signs and diagnosis codes. Across twenty runs on 20,000 MIMIC-III stays with roughly 10.5 percent readmissions, its end-to-end transformer reached AUROC 0.8288, PR-AUC 0.4373 and F1 0.4757. Raw text embeddings hurt tree models, while tuned multimodal training reversed that transfer. This is retrospective benchmark evidence from one public dataset, not a prospective clinical validation or a deployment recommendation.",
    "why_it_matters": "Operational workload and admission flow added independent signals to a multimodal readmission-risk model trained on 20,000 ICU stays.",
    "limitations": [
      "ICU discharge decisions reflect both patient state and hospital capacity, but many models represent only the patient.",
      "This is retrospective benchmark evidence from one public dataset, not a prospective clinical validation or a deployment recommendation."
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    "tags": [
      "intensive care",
      "readmission",
      "clinical operations"
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      "source_id": "source-2026-11-10-013",
      "title": "arXiv preprint 2611.11960, original v1",
      "publisher": "arXiv",
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    "title": "The Bed Pressure Enters the Discharge Model",
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