Agentic AI is a socio-technical system consisting of agents, models, skills, knowledge, tools, memory, permissions, orchestration, deterministic checks, and human decision-making

For executives evaluating agentic AI systems, there is a simple question to ask: “Show me how you know the agent followed the skill.”

Executable Scientific Knowledge Could Become a Reusable Institutional Asset

Podcast Episode · White Coat, Black Art · September 11 · 27m

Each skill should have a version, clear success criteria, and enough logging or structured output to evaluate its performance over time.

One of the most valuable early uses of agentic AI may be helping organizations decide which AI they should be using at all

August 30, 2026

Agent Interoperability Is Emerging as a Procurement Requirement Before It Is a Proven Architecture

Experiment quickly, build where internal development creates an advantage, buy where commercial maturity genuinely adds value, and avoid architectures that make either choice irreversible

Human users need to be able to quickly assess agentic AI outputs and make adjustments on the fly

This Viewpoint discusses the potential benefits and risks, such as privacy violations, discrimination, and exacerbation of health disparities, that may accompany the unfiltered upload of electronic he...

If AI agents are becoming the workforce, the manager agent may become one of the most consequential pieces of the entire system

700 rural hospitals risk closure across U.S. states due to financial challenges, with 264 at immediate risk, per CHQPR July 2024 analysis.

Executive Health AI Insights is a reader-supported publication.

Commercial AI will play an essential role in health care. The question is not whether to buy or build. The more consequential question is which layer of the system should you own, control, and trust

A collection of agents is not automatically a team. It becomes a team only when its members are deliberately organized around a shared objective and an engineered process for achieving it

US News top hospitals by state for 2026-27 list the highest-ranked regional hospitals based on patient outcomes and care quality measures.

Agentic AI is not a single technology. It is an engineered system composed of models, agents, tools, knowledge, workflows, permissions, guardrails, evaluations, and people

Hospitals that apply AI to capacity orchestration can improve patient experience, reduce avoidable labor costs, and expand usable capacity without adding beds or major headcount

Agentic AI should earn autonomy and trust through evidence

Use LLMs to recognize complex risks. Use deterministic controls to enforce the response.