The AI Primer

Before diving into our weekly updates, we recommend listening to these foundational episodes. They provide the essential framework for understanding how AI is transforming pharmacy and how to rigorously evaluate new research.

Why listen first? These episodes act as a primer, giving you the tools to get the most out of every future issue.

What's Inside Each Issue

Audio Podcast (10–20 minutes)

A short, on‑the‑go briefing on the week’s AI-in-healthcare studies, focusing on latest developments, why they matter, and how they might affect your day‑to‑day work.

NotebookLM Workspace (Learn more)

Each issue links to a NotebookLM "chatbot" trained on that week's content. You can:

  • Ask clarifying questions
  • Look up definitions
  • Dig into methods, limitations, and implications for your role

Study Breakdowns

Click any highlighted article to reveal a structured, journal club–style breakdown of the study's objective, methods, results, and limitations.

Tips for Using the Newsletter

1. Remember: Most of This Is AI-Generated

Almost everything here is AI-assisted: article selection, summaries, and the weekly podcast. The studies are real, but the summaries may sometimes:

  • Misstate or oversimplify findings
  • Miss important caveats or limitations
  • Overstate how certain the results are

The podcast in particular can sound more confident than it should. Treat it as a helpful starting point and conversation starter — not a final, authoritative interpretation.

2. Use Tags to Quickly Recognize Study Type

Each article is tagged so you can instantly see what kind of evidence you're looking at:

Model Development
Builds a new predictive or generative model, usually validated on data from the same source.
External Validation
Tests an existing model on data from a different site, region, or population.
Prospective Silent Evaluation
Runs the model in real time without affecting care to measure future performance.
Real-World Deployment
Embeds the model in clinical workflow, where it can change decisions, documentation, or communication.
Process Outcomes
Reports effects on workflow, efficiency, or system-level performance (beyond accuracy).
Clinical Outcomes
Reports effects on patient health, safety, or quality of care.
Reviews & Perspectives
No new data; narrative reviews, syntheses, or opinion/ethics/policy pieces.
Guidelines & Standards
Formal frameworks, checklists, or consensus guidance on designing, evaluating, or reporting medical AI.

Final Thought

AI can speed up how you find, filter, and digest research — but it can't replace your clinical judgment.

Treat these tools as smart assistants, not authorities. Explore the NotebookLM workspace, probe the studies, challenge the summaries (podcast included), and let your curiosity — and your responsibility to patients — do the final review.