The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866910886690553856 |
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| author | Cho, Andrew Woo, Jason M. Shi, Brian Udeshi, Aishwaryaa Woo, Jonathan S. H. |
| author_facet | Cho, Andrew Woo, Jason M. Shi, Brian Udeshi, Aishwaryaa Woo, Jonathan S. H. |
| contents | Under-resourced or rural hospitals have limited access to medical specialists and healthcare professionals, which can negatively impact patient outcomes in sepsis. To address this gap, we developed the MATEC (Multi-AI Agent Team Care) framework, which integrates a team of specialized AI agents for sepsis care. The sepsis AI agent team includes five doctor agents, four health professional agents, and a risk prediction model agent, with an additional 33 doctor agents available for consultations. Ten attending physicians at a teaching hospital evaluated this framework, spending approximately 40 minutes on the web-based MATEC application and participating in the 5-point Likert scale survey (rated from 1-unfavorable to 5-favorable). The physicians found the MATEC framework very useful (Median=4, P=0.01), and very accurate (Median=4, P<0.01). This pilot study demonstrates that a Multi-AI Agent Team Care framework (MATEC) can potentially be useful in assisting medical professionals, particularly in under-resourced hospital settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_16433 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care Cho, Andrew Woo, Jason M. Shi, Brian Udeshi, Aishwaryaa Woo, Jonathan S. H. Human-Computer Interaction Computation and Language Multiagent Systems Under-resourced or rural hospitals have limited access to medical specialists and healthcare professionals, which can negatively impact patient outcomes in sepsis. To address this gap, we developed the MATEC (Multi-AI Agent Team Care) framework, which integrates a team of specialized AI agents for sepsis care. The sepsis AI agent team includes five doctor agents, four health professional agents, and a risk prediction model agent, with an additional 33 doctor agents available for consultations. Ten attending physicians at a teaching hospital evaluated this framework, spending approximately 40 minutes on the web-based MATEC application and participating in the 5-point Likert scale survey (rated from 1-unfavorable to 5-favorable). The physicians found the MATEC framework very useful (Median=4, P=0.01), and very accurate (Median=4, P<0.01). This pilot study demonstrates that a Multi-AI Agent Team Care framework (MATEC) can potentially be useful in assisting medical professionals, particularly in under-resourced hospital settings. |
| title | The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care |
| topic | Human-Computer Interaction Computation and Language Multiagent Systems |
| url | https://arxiv.org/abs/2503.16433 |