Assessing Fairness and Bias in Healthcare AI Tools

Objective: To reflect on the current state of bias and fairness in the application of AI in medicine and propose specific and practical solutions for achieving more equitable healthcare AI systems. Part I: Initial Reflection Address the following questions with clear reasoning and examples: Bias and fairness in artificial intelligence (AI) in medicine remain pressing concerns, …

Assessing the Optimal Time to Include an AI Tool into Clinical Setting

Objective: To reflect on the appropriate speed and methodology for implementing new AI tools in clinical medicine, analyzing the tension between innovation access and evidence-based practice. Background: A friend tells you that her friend just had a mammogram. At the radiology office they ask her if she would like to have her mammogram “read” by …

Exploring Parameter Sensitivity

Adjust three SEIR model parameters by ±50% (e.g., R₀, isolation rate, latent period). Reflect on which parameters most significantly changed the infection curve (e.g., timing, peak, or total recovered). What do your findings suggest about how public health interventions affect disease spread? How might AI/ML tools use or misinterpret these dynamics if trained on simplified …

Behind-the-Scenes Automation 

 Automation doesn’t just change clinical care—it transforms backend operations. Reflect on the medical claims processing case study. What lessons can we learn from successful automation of administrative tasks? How do speed, consistency, and regulatory compliance factor into automation decisions, and where else might AI streamline the healthcare system? Reimagining Automation in Healthcare Administration: Lessons, Challenges, …

Comparing LLMs for Healthcare

Objective This paper discusses the opportunity to move from theory to practice by interacting directly with multiple large language models (LLMs) and critically evaluating their performance. By probing the claims made by LLMs and examining the evidence (or lack thereof) behind those claims, you will develop your own informed perspective on the current and future …

When AI Sees What We Don’t

AI has demonstrated the ability to detect risks (e.g., hospital complications or reintubation) better than expert clinicians in some cases. Does this imply we should rely on AI over human intuition? How should we integrate AI into clinical decision support? Discuss the ethical and operational implications of deferring to AI in cases where its predictions …

Operational Readiness

Operational Readiness You’ve been hired as a data analyst at a mid-sized hospital exploring AI models to reduce 30-day readmission rates. Reflect on the importance of model selection and evaluation. Which algorithms would you prioritize and why? How would you ensure leadership understands both the benefits and limitations of your recommendation? Using AI systems to …

ai in healthcare Foundations and Frameworks

Foundations and Frameworks How does understanding the differences between symbolic AI, machine learning, and reinforcement learning help you think more critically about AI use in healthcare? Reflect on how the R.O.A.D. (Requirements–Operationalize Data–Algorithm–Deployment) framework can guide effective development and implementation of these technologies in healthcare settings. By understanding the underlying mechanisms, we move beyond the …

ACLS 綜合處置決策樹

之前,我們從 IV 建立、EtCO2 判讀,一路攻克了 VF/pVT、SVT、VT 以及 ROSC 後照護。今天我們進入 ACLS 系列的最終驗收:「ACLS 綜合判讀大會考」。這將模擬救護現場最真實的挑戰,測試你對 2025 年新版教科書 規範的反應速度。 核心知識:ACLS 綜合處置決策樹 根據 2025 教材,面對心搏過速或緩脈,你的思考路徑必須標準化: 實戰模擬情境 (Clinical Scenarios) 情境一:突發性昏厥 情境二:心悸與胸悶 情境三:OHCA 現場的「電擊 vs 藥物」優先序 情境四:不穩定緩脈的「藥物 vs 電學」切換 情境五:ROSC 後的「氧氣與血壓」微調 專業詞彙 (Terminology) 術語 全名 2025 國考重點 Synchronized 同步 電擊 WCT 但有脈搏時,必須按下 SYNC 鍵。 Defibrillation 去顫 針對 VF/pVT (無脈搏) 的非同步大能量電擊。 Capture 捕捉 TCP …

ROSC 後的復甦照護 (Post-Cardiac Arrest Care)

在 2025 年消防署新版教材 中,這一章節強調「保護大腦」與「器官灌流」,避免二次傷害。 ROSC 後的生理目標 當病患恢復自主循環(ROSC)後,EMT-2 的任務是維持穩定,防止心跳再次停止。 1. 氧合與通氣目標 (Oxygenation & Ventilation) 2. 血壓維持 (Hemodynamic Goal) 專業詞彙 (Terminology) 術語 全名 2025 臨床重點 ROSC Return of Spontaneous Circulation 恢復自主循環。定義為觸摸到脈搏或 EtCO2 突然激增。 Hyperoxia 高氧症 2025 教材警告:ROSC 後給予過多氧氣會加重大腦損傷。 TTM Targeted Temperature Management 目標體溫管理。2025 指引強調:預防發燒對預後至關重要。 技能重點:ROSC 後的即時評估 (2025 操作規範) 根據 2025 單項技術操作手冊,ROSC 出現時應立即執行: 醫護溝通情境 (Communication) 情境:OHCA 病患在電擊兩次後 ROSC,目前已在救護車上。 …