Healthcare AI field briefings

Practical notes on agents, informatics, and healthcare operations.

Short executive briefings for leaders trying to turn AI from scattered demos into governed operational capacity.

Role design

The Rise of the AI Informaticist

Healthcare AI needs a new operating role: someone who can translate clinical intent into safe agent behavior.

Governance

Why Healthcare Agents Need Approval Architecture

The safest healthcare AI pattern is not full autonomy. It is prepare, propose, approve, execute, and audit.

Workflow

From EHR Tickets to Intent-Driven Workflows

The future state is not better forms. It is users stating outcomes and agents translating them into governed work.

Pilots

The First Safe Use Cases for Healthcare Agents

Start where agents can prepare work around care before they are allowed to affect care.

Risk

Shadow AI Is Coming for Health Systems

If leaders do not provide safe paths for agentic work, teams will build unsafe ones on their own.

Strategy

Ambient AI Is Only the Front Door

Ambient documentation matters, but the larger opportunity is the operational work that happens after the conversation.

ROI

Healthcare AI ROI Should Start With Capacity

The first credible ROI story is not replacing clinicians. It is returning expert time to higher-value work.

Permissions

The New Governance Question: Which Agent Can Do What?

Identity, permissions, tools, and approvals matter as much for agents as they do for people.

Adoption

Clinical Trust Is the Scarce Resource in AI Adoption

The hardest part of healthcare AI is not generating output. It is earning enough trust for people to use it.

Enterprise AI

Vendor AI Is Not an Operating Model

Vendor features will matter, but health systems still need their own governance, workflow, and accountability model.