SPOT-IT: Cancer sepsis prediction in the hospital using smart technology

Who could benefit from this research

What this research studies

This grant supports training a clinician-scientist to create an oncology-specific sepsis prediction model using machine learning and to design usable implementation strategies for real-world hospital settings. The work combines data analysis of electronic health records with human-centered design to ensure the tool fits into clinicians’ workflows. If successful, it could lead to earlier recognition of sepsis in cancer patients and faster, life-saving treatment. The project emphasizes practical deployment in hospital care delivery and aims to build skills for independent research leadership. The focus remains on improving outcomes for cancer patients who are at higher risk of deadly sepsis.

Why it matters

Where this research is happening

• Oregon Health & Science University
  Portland, United States Active

Researchers

• Principal investigator: Lyons, Patrick G — Oregon Health & Science University
• Study coordinator: Lyons, Patrick G

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About this research

1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.