Open Pathology Learning Lab

Many labs can digitize slides; few can orchestrate. The image should serve the workflow, not define it. This 35-minute talk treats the WSI as a stateful production artifact and presents an event-driven, state-machine model that coordinates LIS events, the imaging lifecycle, distribution, and AI into one operational workflow.

AI-assisted development has changed what a small applied-informatics team can build inside an academic medical center. The talk traces the gap between operational EHR data and what clinical research actually needs, the parallel infrastructure departments quietly build to bridge it, and the institutional discipline that becomes both possible and necessary as iteration cycles collapse from months to hours. Includes live demonstrations of IBIS — natural-language search and cohort discovery — and Xenonym, a schema-driven synthetic-data generator. Closes with the case for applied informatics as the translational layer that turns biomedical information science into clinical reality.

Yale OneIT Conference — what changes, what doesn’t, and what it means for the act of building. Featuring the Xenonym case study, DevSecOps patterns, and the Tufte meta-argument.

How emerging technologies are transforming the tools we build — combining workflow foundations, the functionality gap, AI-assisted development evidence (Xenonym, IBIS, WBC ΔΣ), and a practical pathway for pathologists.

Logic, workflow, and the future of practice — featuring live polls, micro-case voting, D3 visualizations, and a JSON-driven slide engine.

Why we build, what we build, and how you can too — featuring the Buy vs. Build debate, problem-first clinical cases, hands-on workshop, live polls, and D3.js cost/architecture visualizations.

The original lecture — DevSecOps, image analysis tools, digital pathology infrastructure, and spotting workflow gaps.

What every pathology resident should know about LIS and IMS — covering HIPAA, regulatory frameworks, breach data visualization, and de-identification.