Clinic Automation

Calling all Healthcare Innovators! If you haven’t tried Claude Code yet, you’re missing out. Clinic automation is having a moment, again. The possibilities are endless. Anything you can write, Claud can create. This is the toll that is going to help healthcare providers gain the edge they need to take control of AI in their clinic. It’s getting easier and easier to automate your workflow. That is how real change shows up in clinical work.

In this issue:

  • Diving deeper into AI workflows

  • Practical automation wins in scheduling, pathways, and throughput

  • Fresh research on automating triage, coding, and decision support

  • The policy signals that should shape your rollout playbook

Plus: Coding with Claude

Let’s dive in.

LATEST NEWS

🧩 “Digital pathways” get real with AI-driven workflow design: A Healthcare IT News workflow report describes how an AI-driven digestive health pathway reduced operational friction like cancellations and repeat procedures. The angle here is not a shiny model. It is process engineering with AI embedded in the pathway itself.

🧠 What actually frustrates physicians, and where automation is landing: A Becker’s piece on workflow pain points puts “inbox burden, medication access, and care coordination” at the center. The practical automation list is the important part: real-time benefit checks, in-workflow ePA, ambient documentation, and smarter inbox triage.

⚠️ ECRI flags chatbot misinformation as a patient safety hazard: Healthcare IT News covers ECRI warning that chatbot misinformation can cause significant patient harm. As clinics automate patient-facing workflows, “automation” has to include safety design: escalation triggers, scope limits, and clear “this is not medical advice” guardrails

RESEARCH

🧪 Nature Health: AI and Evidence-Based Medicine: A Nature Health commentary outlines how AI could reshape evidence generation, enabling real-time data integration and dynamic trial design across clinical research.
Key Takeaway: AI may soon accelerate both clinical care and how we generate the evidence that supports practice.

🧠 Predicting Health from Sleep with AI: An AI model (SleepFM) trained on large sleep datasets can predict >100 health conditions from sleep features with good accuracy, opening doors to passive health monitoring insights.
Key Takeaway: Wearable and sleep data interpreted by AI could become a new frontier in early disease prediction.

🤝 People Trust AI Health Advice - Even If It’s Wrong: Survey research highlights that both clinicians and the public tend to trust AI health advice even when it’s inaccurate, pointing to an urgent need for better safety guardrails.
Key Takeaway: Trust without accuracy is a dangerous combination for clinical use.

ETHICS/REGULATION

📊 AI Governance Grows in Singapore: Researchers in Singapore demonstrated how transfer learning plus governance frameworks can bridge data scarcity in resource-limited settings.
Why this Matters: Responsible AI must work globally and not just in resource-rich systems.

♻️ Healthcare AI’s Environmental Footprint Gets Attention: Experts are pushing clinicians and leaders to account for the carbon and energy costs of AI systems.
Why this Matters: Sustainable AI adoption is an ethical imperative for health systems.

🧑‍⚖️ Discussion of a U.S. HEALTH AI Act Intensifies: Coverage of the proposed HEALTH AI Act highlights efforts to set guardrails on generative AI use in healthcare, with emphasis on safety standards and risk mitigation.
Why this Matters: Policymakers are beginning to define what safe AI in medicine must look like.

TOOLS I’M EXPLORING
🛠️ Claude Code

Claude Code makes it easy to create nearly complete websites and apps

What I’m using it for: Anything, everything. If there is a way to make a clinic fully compatible with AI, Claude is the first tool to try.

First things first: we need a website for our AI clinic. Patients need a place they can find you and make an appointment.

Input this prompt into ChatGPT or whatever LLM you use to help get you started. I used this and pasted the resulting prompt into Claude and it gave me this in 15 minutes.

You are a web developer using Claude Code to create a professional physician website. Create a prompt that can be input into Claude to create a working website for a [medical professional].

Sections:
About Me - Board Certified in [specialty], [list your basic credentials], my passions include …
Blog - [SEO for website, What would you like your patients to know?]
Conditions Treated -[list example conditions you treat]
Contact Me - link to appointment website, clinic address, email
Social media pages
Legal - privacy policy, medical disclaimer

Depending on how much you use ChatGPT (or your other LLM), it may be able to fill in a lot of the above blanks for you. The more detailed you are, the more professional it looks, and the less editing you need.

Review the prompts for errors, make small edits where you see fit, and paste this into Claude Code, and watch it create a functional, professional-looking website for you!

Pro Tip: When you input into Claude, make sure you’re in plan mode first, this helps you make final edits prior to actually creating the website

FINAL THOUGHTS

Claude is the best first step for healthcare providers to start creating tools that can actually help patients and improve their clinical workflow. Try out Claude this week. Let me know what you would like to build. Feel free to reach out to me directly with any questions or ideas.

Send me a screenshot of your website and a link if you publish and I’ll promote it in next week’s newsletter!

Best Regards,
Chris Massey, MD

“The real voyage of discovery consists not in seeking new landscapes but in having new eyes.”
Marcel Proust

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Disclaimer: This newsletter is for educational and informational purposes only and does not constitute medical advice. Readers should review primary sources and follow applicable clinical guidelines and institutional policies before implementing any changes. Always de-identify patient data and review all outputs for accuracy.

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