Start here
A first note on what this site is for.
Healthcare, business, and AI
A casebook for operators, builders, and investors trying to understand what works, what breaks, and what is worth trusting.
Written by Salik Tehami, MD/MBA. Built in public.
What this is
This site is new. The aim is simple: collect cases, concepts, and reviews that help people make better decisions in healthcare, business, and AI.
The writing starts with real operating questions. Does the workflow make sense? Is the data good enough? Who owns review? Is the strategy real, or just a good demo?
What is available
Short case-shaped notes on operations, data, AI systems, strategy, and diligence.
ConceptsSimple mental handles for seeing workflow fit, source boundaries, review burden, and trust.
ReviewsHealthcare AI and infrastructure reviews for people deciding what to trust, buy, or build.
Domains
The useful unit is not the client name. It is the repeatable pattern: the decision, the workflow, the constraint, the evidence, and what changed.
Latest
A first note on what this site is for.
A case-style post that uses charts to show where an operating report can and cannot be trusted.
A build-log style post for showing the before/after shape of an AI-assisted operational workflow.
A memo format for testing a company's AI workflow claims against source evidence and operational risk.
A decision-memo format for testing whether a healthcare AI product claim is useful enough to buy, build around, or ignore.
Credible only if the workflow owner and review state are explicit.
A review format for evaluating the infrastructure beneath healthcare AI workflows: retrieval, evals, observability, agents, and deployment boundaries.
Useful if it makes failure modes visible before clinicians or operators inherit them.