Smart ER : Transforming Emergency Care with Smart Technologies, Precision Intervention and Collaborative care
Sylvia Teo
Country : Singapore
Official Title : 醫師
Department :
Institute : KK Women's and Children's Hospital
Speaker CVA Cluster of Toxic Hepatitis Cases at An Electronics factory
We report toxic hepatitis in 3 workers involved in capacitor manufacturing in an electronics company. requiring hospital admissions over a 5 year period. Two of these workers worked at the polymerization section and the third at the masking and punching section at the same level, with several air conditioning units. There was no partitioning between the 2 sections, in addition to inadequate engineering control measures, resulting in contamination of air in the entire production area. The average latency period between exposure to the pyrrole and hepatic symptoms was between 1 to 8 months. Liver biopsy for 2 of the workers confirmed the presence of toxic hepatitis. 2 of the workers had returned back to the same job scope in the same area after discharge from hospital resulting in a flare-up of their symptoms again, within 8 to 20 days, both requiring re-hospitalization, suggesting evidence of work-relatedness. Pyrrole has been reported to be hepatotoxic in animal studies but there are no human reports available in the literature. To our knowledge, these are the first reported cases of acute toxic hepatitis due to pyrroles.
沈偉誌
Country : Taiwan
Official Title : Wei-Chih Shen
Department :
Institute : Chung Shan Medical University Hospital
Speaker CV「醫點家」:從臨床需求出發,打造急診 AI 應用新典範
中山附醫在 2024 年獲得國科會生成式 AI 應用金獎的「醫點家」,是一個為臨床打造的智慧醫療應用孵 化器,協助醫療人員以自然語言建構所需工具,實現資料處理邏輯的模組化與標準化。平台有效整合多 模態資料,並融合生成式和預測式 AI,優化臨床作業流程、減輕負擔。本次演講將聚焦於急診場域的應 用,介紹在醫點家平台上創建的多項臨床應用,並簡要分享代表性的小幫手,展現醫點家在不同臨床情 境的擴展潛力,推動智慧醫療的實踐與落地。
以工業工程思維來發展的智慧醫療案例
隨著醫療需求增加,傳統醫療流程存在等待時間長、資源配置不合理、醫療錯誤率高等問題。運用工業 工程的流程分析與優化方法,可提升醫療服務效率與品質。流程分析與再造:採用時間動作研究(Time and Motion Study)分析病患從掛號、檢查、診斷到出院的全流程,找出瓶頸與浪費環節,進行流程重整。 資源最佳化配置:利用排程與資源規劃(如線性規劃、排班系統),優化醫護人員與設備的配置,降低 等待時間與資源閒置。智慧物聯網(IoT)應用:部署傳感器監測設備運作狀態與醫療環境,實時調整 流程與資源調度。數據分析與預測:建立電子病歷與診療資料的數據庫,透過大數據分析預測醫療需求 高峰,提前調配資源。持續改善:引入 PDCA(Plan-Do-Check-Act)循環,持續優化流程與系統效能。 成效:減少病患等待時間、提升醫療資源使用效率、降低醫療錯誤率、提升患者滿意度與醫護人員工作 滿意度。
跨域創新整合智慧醫療、精準介入與半導體技術：急診醫師的視角
本簡報探討智慧醫療與精準介入如何結合半導體技術，共同革新急診醫療決策流程。在面對急診現場的時間壓力、資訊爆炸、高壓決策及資源緊繃等現實挑戰，智慧醫療提供整合物聯網、AI、大數據等技術的解方，來提提升醫療服務效率與品質，並從被動治療轉向個人化照護。 精準介入核心在於從「經驗」轉型為「數據」驅動決策，透過即時監測預警、大數據分析及AI輔助決策（如影像判讀、疾病預測與智慧分診）來實現。作為智慧急診的「芯」動能，半導體技術驅動高效能運算晶片、微型感測器、通訊晶片與顯示互動晶片四大面向，提供AI演算法所需算力、實現生理參數微型監測、確保高速醫療數據傳輸，並提升影像品質與互動體驗。 這些技術的整合將顯著提升急診醫師的診斷效率與精確度，優化治療路徑，並降低疲勞決策風險。未來展望包含全自動化急診流程、智能分診系統及實時決策支援平台。儘管面臨數據隱私、技術整合、成本及醫師適應等挑戰，此跨域融合代表著急診照護從「一體適用」邁向「個人化」的革命，預示著更高效、更安全的急診醫療未來。
Kota FUKAI
Country : JAPAN
Official Title : MD
Department :
Institute : Tokai University School of Medicine
Speaker CVOEM in Japan: What Occupational Physicians Do and the Career Paths
Occupational and Environmental Medicine (OEM) in Japan is supported by a strong legal framework, most notably the Industrial Safety and Health Act, which mandates companies to appoint occupational physicians (OPs). These professionals are responsible for a wide range of tasks such as workplace inspections, individual health consultations, and analyzing health trends to support employee well-being. In this session, I will introduce the historical background and current framework of Japan’s occupational health system, emphasizing the critical role of OPs in ensuring worker health and safety. Furthermore, I will share my own professional journey—from graduating from the University of Occupational and Environmental Health, Japan (UOEH), to practicing as a full-time OP, and later transitioning into academia while continuing to serve as a part-time OP. Through this narrative, I hope to illustrate the diverse and evolving roles of OPs in Japan. This session aims not only to convey the structural elements of Japanese occupational medicine, but also to humanize the role of occupational physicians by presenting a personal example of balancing clinical, corporate, and academic responsibilities. I hope this talk will provide insights into how Japan fosters workplace health and may offer perspectives applicable in other countries, including Taiwan.
胡松原
Country : Taiwan
Official Title : Sung-Yuan Hu
Department :
Institute : Taichung Veterans General Hospital
Speaker CVThe Performance of Artificial Intelligence (AI) to Predict the Clinical Outcomes of Bacteremia in the Emergency Department 人工智慧（AI）預測急診菌血症臨床預後的能力
菌血症是一種由細菌感染引起的血液傳染病，其病情發展迅速且常常導致嚴重的併發症和死亡。本研究目標要提升對菌血症病人死亡率預測準確度，以協助醫師做精確的診斷與即時治療。 本研究先找變項的缺失值，以機器學習演算法處理遺漏值，進行補值，避免因遺漏值而無法建模的狀況。以上述資料做階段性進行分析，每階段的資料投入皆經機器學習補值以及演算法預測，再挑選三個最高準確率的演算法進行重要因子分析，評估最後的預測能力。
張麗卿
Country : Taiwan
Official Title : LI-CING JHANG
Department :
Institute : Shih Chien University
Speaker CVEthical laws related to AI in healthcare
隨著人工智慧（AI）技術在醫療領域的迅速發展，其應用已涵蓋診斷輔助、預後預測、醫療影像分析等多項醫療服務。然而，智慧醫療的推展同時引發一系列倫理與法律議題。例如，在倫理層面，如何確保病人知情同意與自主決策權益，以及AI系統決策的公平性與透明性，皆為重要課題；在法律層面，則涉及醫療責任歸屬、資料保護與隱私權等議題。特別是在AI做出錯誤判斷時，醫療機構與技術開發者的責任應如何釐清。因此，本次演講將聚焦於智慧醫療運用與人權保障間的倫理及法律問題，以及說明如何確保其能安全、可負責任的持續進步。
洪崇傑
Country : Taiwan
Official Title : CHONG-JIE HONG
Department :
Institute : China Medical Univer-sity Hospital
Speaker CVAssessment of work capacity in patients with mental illness
According to American Medical Association Guides to the Evaluation of Permanent Impairment (AMA Guide), the client suffered from the disease caused in workplace or accident, they could apply for evaluation of impairment of working capacity. Concerning the psychiatric diseases, the AMA Guide suggested the confirmed diagnosis of psychiatric disease, serial psychometric scales and complete psychological rating tools. The psychiatric diseases or psychological impairment is both difficult to be noticed but had caused serious diseases burden in the worldwide. It’s also difficult to examine correctly the sufferance and working deficiency of the psychiatric diseases. The causal relationship between accident and the psychiatric diseases makes it difficult to form an adequate certification. With the amendment of new mental health act in Taiwan since 2022, the Legislative announced the core principle of anti-discrimination, self-determination and right to health of patient with psychiatric disease. In this speech, the procedure and SOP of how to examine and predict the deficiency of working capacity of psychiatric diseases after the accident (either in working place or public environment) will be introduced and reflected back to the current problems concerning about assessment of working capacity of patients with psychiatric diseases.
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