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Oncologic ICU patients face high-stakes complexity: Rapidly evolving physiology, overlapping emergencies, and profound immunosuppression. This chapter applies proven QI strategies—PDSA cycles, Lean waste reduction, Six Sigma precision, and targeted care bundles—to this setting; introduces oncology-specific metrics ranging from adherence to a standardized neutropenic-fever pathway to patient-reported symptom scores entered via the patient portal or bedside tablet and captured as structured EMR data; outlines safety safeguards for high-alert medications and infection control, illustrates real-world gains—faster antibiotic delivery, fewer catheter infections, and clearer team communication—and explores international benchmarking with SEMICYUC’s 120-indicator toolkit. Finally, we highlight emerging AI-driven early-warning systems, genomic dashboards, and ethical oversight models that ensure innovation aligned with patient-centered care. Together, these insights form a scalable, evidence-informed roadmap for advancing quality in oncologic critical care.

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Quality Assurance and Improvement in the Oncologic Intensive Care Unit

  • 动态工具书词条

  • 发表日期：

    2026年

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  • Pablo Moreno Franco,
  • Swetha Reddy,
  • Rosa Corro

摘要

Oncologic ICU patients face high-stakes complexity: Rapidly evolving physiology, overlapping emergencies, and profound immunosuppression. This chapter applies proven QI strategies—PDSA cycles, Lean waste reduction, Six Sigma precision, and targeted care bundles—to this setting; introduces oncology-specific metrics ranging from adherence to a standardized neutropenic-fever pathway to patient-reported symptom scores entered via the patient portal or bedside tablet and captured as structured EMR data; outlines safety safeguards for high-alert medications and infection control, illustrates real-world gains—faster antibiotic delivery, fewer catheter infections, and clearer team communication—and explores international benchmarking with SEMICYUC’s 120-indicator toolkit. Finally, we highlight emerging AI-driven early-warning systems, genomic dashboards, and ethical oversight models that ensure innovation aligned with patient-centered care. Together, these insights form a scalable, evidence-informed roadmap for advancing quality in oncologic critical care.