TRACER: A Multimodal Harness for Patient Care in Hospitals
We introduce TRACER, a training-free multimodal harness that constructs minute-level action records from video and combines them with clinical records into hourly reports.
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Key points
- Continuous video and clinical records provide complementary information for understanding how patient behavior evolves over a hospital stay.
- A central challenge is how to represent behavior across the entire stay while preserving access to fine-grained visual and clinical evidence.
- Across 280 patients spanning approximately 60,000 camera-hours, TRACER identifies significantly less purposeful activity in patients with a positive delirium assessment during their stay than in those without (p < 0.0001).
- Our results show that combining continuous video with clinical records can support understanding of patient behavior over time and across patient cohorts without training on protected health data.
Sources (1)
- [1]TRACER: A Multimodal Harness for Patient Care in HospitalsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 15, 05:00 AM
We introduce TRACER, a training-free multimodal harness that constructs minute-level action records from video and combines them with clinical records into hourly reports.
Continuous video and clinical records provide complementary information for understanding how patient behavior evolves over a hospital stay.
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