Society · Concept
Controllable LLM Virtual Patient System for Clinical OSCE Training
Learning-analytics study turns GenAI virtual-patient dialogue logs into teacher-interpretable clinical reasoning process evidence.
Connections
Connections · 4
How this node ties into the rest of the map, and the evidence behind each link.
Both use LLMs to turn clinical material into interactive decision-centered training experiences for learners.
+4 growthProcess-coded GenAI VP dialogues and interruption safety both treat clinical conversation dynamics as first-class evaluation targets.
+4 growthStorytelling clinical games extend LLM virtual-patient training into full decision trajectories.
+3 growthLLM-based virtual patient systems apply agentic AI to reshape clinical education and training workflows.
+2 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
An OECD review of ~200 government AI use cases found 57% support automating or tailoring public services and 45% enhance decision-making — most still stuck in pilots.
OECD — Governing with AI →A Stanford payroll study found a 13% relative decline in employment for workers aged 22–25 in AI-exposed occupations since late 2022, while older peers held steady.
Stanford Digital Economy Lab →Microsoft reported AI-enhanced phishing reached a 54% click-through rate (4.5× traditional) and AI-generated fake IDs grew 195% globally in 2025.
Microsoft — Digital Defense Report 2025 →