用专家协作架构提升急诊诊断准确率与可解释性
PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
- 构建轻量路由机制,按临床事件分发至5类专科模型
- 在真实急诊数据上实现低困惑度与显著算力节省
- 适合需安全、可审计的临床决策系统部署
我们提出PRISM-Consult,一种面向临床医生的专家协同架构,将紧凑的PRISM序列模型扩展为领域专业化路由系统。就诊记录被结构化为临床事件序列;轻量级路由模块读取前几条事件后,将其分发至五个专科模型(心血管、呼吸、消化道、肌肉骨骼、心因性)。各专科继承PRISM的小型Transformer主干与标记模板,兼顾参数效率与可解释性。本研究评估了由五大高影响急诊诊断组构成的专科体系。在真实急诊科队列中,各专科模型均实现平滑收敛,各领域开发困惑度低;路由模块在安全优先策略下达成高路由质量,并大幅节省计算开销。文中详述数据方法(初始与确诊ICD-9类别)、路由阈值与校准策略,并报告各领域独立结果以避免常见事件主导。该框架为实现安全、可审计、低延迟的大规模临床咨询提供了可行路径,我们进一步提出外部/时间复制验证、非对称危急阈值、多标签仲裁等步骤以满足前瞻性临床部署标准。
原文摘要 · Abstract (English)
We present PRISM-Consult, a clinician-aligned panel-of-experts architecture that extends the compact PRISM sequence model into a routed family of domain specialists. Episodes are tokenized as structured clinical events; a light-weight router reads the first few tokens and dispatches to specialist models (Cardiac-Vascular, Pulmonary, Gastro-Oesophageal, Musculoskeletal, Psychogenic). Each specialist inherits PRISM's small transformer backbone and token template, enabling parameter efficiency and interpretability. This initial study evaluates a scoped panel of five specialist families defined by high-impact ED diagnostic groups. On real-world Emergency Department cohorts, specialists exhibit smooth convergence with low development perplexities across domains, while the router achieves high routing quality and large compute savings versus consult-all under a safety-first policy. We detail the data methodology (initial vs.\ conclusive ICD-9 families), routing thresholds and calibration, and report per-domain results to avoid dominance by common events. The framework provides a practical path to safe, auditable, and low-latency consult at scale, and we outline validation steps-external/temporal replication, asymmetric life-threat thresholds, and multi-label arbitration-to meet prospective clinical deployment standards.
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