Ruijin Hospital: Embarking on a Smart Hospital Journey and Exploring a Digital Medicine Platform
Bibliographic record
Abstract
本案例首先简要回顾了中国医院体系及智慧医院的探索背景及发展历程，并介绍了瑞金医院的背景，接下来重点讲述了瑞金医院提出数字化医院的战略愿景，结合多方痛点细化战略目标，积极探索多种技术落地路径，并通过智慧服务、智慧医疗和智慧管理全面探索智慧医院建设。 2021年10月27日，上海市数字医学创新中心在瑞金医院正式揭牌。上海市政府对瑞金医院提出了极高的期望——瑞金医院要为全国数字医学发展探索标准、树立标杆、作出示范。瑞金医院院长宁光院长作为创新中心的主任发言表示，创新中心将深入推进医疗数字化转型，打造智慧医院的典范，并推广到其他医疗机构。 然而，肩负重担的瑞金医院接下来既要做好自身的智慧医院建设，又要协调内外部资源，推动整个医疗行业的数字化转型。问题是，于内，瑞金医院智慧医院建设所打造的新技术和数字化场景离大范围普及还有一定距离；于外，当前医疗行业的智能化、信息化水平还不够高，医疗数据的整合和共享程度低，各地区医疗数据化程度也不尽相同，因此，输出数字医学标准同样面临挑战。面向未来，瑞金医院如何进一步深化自身智慧医院建设，并建设好上海数字医学创新中心这样一个内部的平台性功能机构呢？
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.023 | 0.019 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".