What healthcare professionals should know first when using generative AI
Contents
What should you check before entering patient information into generative AI? How do you verify the references AI cites? This page brings together articles covering practical examples and procedures—from clinical practice to grant applications, paper writing, and resident supervision. I add related materials as they become available.
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- A video of the lecture "Using generative AI to improve clinical quality." Includes instructions on how to get the presentation slides.
- Using referral letters and meeting minutes as examples, this outlines cases where turning off model training is not enough.
- How to choose between UpToDate and OpenEvidence when researching clinical questions. Compares how their information is produced and explains how to verify cited literature.
- Shares a Gemini Gem configured to include PubMed and DOI links in its responses, along with its system instructions.
- Before writing a grant application, how to use generative AI to broaden your ideas and develop your approach while reading prior research.
- Drawing on an English medical writing guide, this examines verifying references and using AI when developing research ideas.
- Using a sample dialogue between a supervising physician and a resident, this looks at teaching residents to verify AI answers together.
This is the video from the seminar "Using generative AI to improve clinical quality." I discussed practical approaches to using generative AI in clinical practice and education. Details on how to get the presentation slides are in the lecture article below the video.
Using generative AI in clinical practice
What to check before entering patient information. Using draft referral letters, nursing care plans, and meeting minutes as examples, this separates what to check in opt-out training settings from what to verify in contracts and hospital policies.
Drawing on reported cases, Dr. EARL outlines how to choose services and set hospital rules when drafting medical records with generative AI.
Precautions when using AI for medical charting: Staying compliant with guidelinesnote.comAn article covering domestic implementation examples and safety management issues for systems that transcribe clinical conversations and import them into electronic health records.
[Redefining Human-in-the-Loop in Medical AI] A thorough examination of direct voice-to-EHR AI integrationnote.comKey issues when asking AI to generate differential diagnoses include handling patient information and how diagnostic accuracy varies with the input.
Pitfalls of AI differential diagnosis: Personal data handling and accuracy issuesnote.comUsing real outpatient examples, Dr. EARL examines how to respond when patients consult ChatGPT about their symptoms before coming to the clinic.
What if a patient comes to the clinic after asking ChatGPT about their symptoms?note.comResearching clinical questions and verifying references
I built a Chrome extension to prioritize systematic reviews and meta-analyses when searching on OpenEvidence.
UpToDate is an expert-edited resource, while OpenEvidence is an AI that searches the literature to generate answers. This summarizes how to choose between them based on the clinical question and why you need to verify AI answers against original papers.
To make it easier to trace sources from Gemini's responses, I added prompt instructions to list cited references with links. The article includes the prompt.
The Gem shared in Part 2 is configured to return a list of references with PubMed and DOI links when you enter a clinical question. The full instructions are included.
Using AI for grant applications, paper writing, and education
Before writing a grant application, you need to broaden your research question and read the literature to refine your hypothesis. This article introduces one AI agent to support each task.
How do you verify references cited in a paper? What should you delegate to AI when developing research ideas? This article examines both questions, drawing on a guide to writing papers in English.
Reviewing together what a resident asked the AI and how they verified the basis for its answer. The article includes an example of a supervising physician and a resident working through this dialogue.
Drawing on research into generative AI use in university courses and student critical thinking, I examined how to design assignments and assessments that require students to verify AI output.
When using AI-generated images in classes or teaching materials, it is important to check the copyright distinction between expression and ideas, as well as exceptions for educational use. This guide covers those points alongside ethical considerations when generating images.