Can a General-Purpose Coding Agent Analyze a Production Hospital Data Warehouse?
· 2026-09-04 · 原文
DOI：10.64898/2026.09.02.26362008v1?rss=1预印本：medRxiv开放获取：绿色OA
Background. Health systems answer most questions by having expert analysts hand-write queries against a complex electronic health record data warehouse, a slow, resource-intensive process. Whether an autonomous coding agent can do this accurately is unknown. Methods. In a single-center quality-improvement evaluation, we posed ten questions about a common pediatric infection, acute otitis media. The questions went to analysts, whose adjudicated answers were the reference, and to an autonomous coding agent (OpenAI Codex), which wrote and ran read-only queries on a full copy of the production data warehouse (Epic Caboodle). We ran the agent under four conditions: an autonomous baseline (each question answered three times at two reasoning-effort settings), a variant in which it listed its assu
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1. 人话版
Health systems answer most questions by having expert analysts hand-write queries against a complex electronic health record data warehouse, a slow, resource-intensive process.
Whether an autonomous coding agent can do this accurately is unknown.
2. 领域脉络
In a single-center quality-improvement evaluation, we posed ten questions about a common pediatric infection, acute otitis media.
3. 机制拆解
We ran the agent under four conditions: an autonomous baseline (each question answered three times at two reasoning-effort settings), a variant in which it listed its assu
4. 证据与数字
摘要未给出量化结果——留意原文的实验与数据。
5. 反例与边界
The questions went to analysts, whose adjudicated answers were the reference, and to an autonomous coding agent (OpenAI Codex), which wrote and ran read-only queries on a full copy of the production data warehouse (Epic Caboodle).
6. 跨领域连接与意外收获
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7. 可复用方法
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8. 术语表
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