Healthcare, business, and AI

Better decisions in messy systems.

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

A public casebook for practical judgment.

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

Three ways in

Cases

Examples by domain.

Short case-shaped notes on operations, data, AI systems, strategy, and diligence.

Concepts

Reusable ideas.

Simple mental handles for seeing workflow fit, source boundaries, review burden, and trust.

Reviews

Decision memos.

Healthcare AI and infrastructure reviews for people deciding what to trust, buy, or build.

Domains

Where the cases will live

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

Cases, reviews, and concepts

concept working thesis strategy diligence

Start here

A first note on what this site is for.

case tested data work

Sample: clinic data quality audit

A case-style post that uses charts to show where an operating report can and cannot be trusted.

case observed healthcare ai tools

Sample: AI workflow buildout

A build-log style post for showing the before/after shape of an AI-assisted operational workflow.

case speculative strategy diligence

Sample: investor diligence memo

A memo format for testing a company's AI workflow claims against source evidence and operational risk.

review working thesis healthcare ai tools

Sample: healthcare AI tool review

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.

review working thesis ai infra

Sample: AI infrastructure review

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.