Insights on healthcare AI.
Analysis for healthcare teams adopting AI responsibly: privacy, security, and the operational work AI is meant to improve.
Talk with TimberlinePrivate AI for healthcare: confidentiality, clarity, and control
What makes AI private? For healthcare teams, the answer starts with customer boundaries, clear data handling, and control over acceptable use.
Three months of building Timberline
From a private AI workspace in July to checked citations, projects, and governed web search in September: what we built, and why.
What to ask before your team uses AI with PHI
Six questions that show whether an AI tool can safely handle protected health information, and what good answers sound like.
Private inference vs. public model APIs, explained for healthcare
Two AI tools can look identical and handle data very differently. Here is what changes when the model runs privately, and how to tell.