AI Is Already in Healthcare. What Is It Actually Doing?
Artificial intelligence is entering hospitals, clinics, and clinical workflows. But between the promises of automation and the realities of patient care…
Learning in public
Technical notes, experiments, and reflections as I learn to build software and explore AI with a clinical perspective.
Subscribe via RSSHealthcare software, learning resources, and practical tools are the direction of this work. These reading paths start with what is published today.
Start with a bedside perspective on systems, workflows, and the people using them.
Explore Python foundations, the journal’s implementation, and the design philosophy behind Simpyll.
Healthcare tools are planned. Explore the project roadmap and current engineering work.
Artificial intelligence is entering hospitals, clinics, and clinical workflows. But between the promises of automation and the realities of patient care…
Medicine is full of algorithms. Software is built on them. But translating a clinical recommendation into executable code reveals something fundamental about…
What more than a decade in critical care taught me about software, systems, and the humans holding everything together.
On learning something new after spending years getting good at something else.
On Jekyll, Unix, and the idea that complexity is best managed through simplicity.
A hands-on tour of code highlighting, responsive tables, callouts, figures, disclosures, footnotes, and the details that make technical writing a pleasure to read.
Starting my journey into software and AI engineering with Harvard CS50P, Python fundamentals, and my first command-line application.