Uploaded April 2026 | Updated September 2026, 2 weeks ago
AI scribes are one of the top use cases of AI among clinicians.
The promise is appealing: instead of spending seven minutes writing a note, these programs claim that the same documentation can be generated in about a minute.
If that holds true, it could meaningfully reduce documentation burden and be a game changer for burnout. But the reality is more complicated. AI scribes can also hallucinate details, omit important clinical information, or produce notes that take longer to correct than they would have taken to write.
So how should we as clinicians use them in a way that helps us save time but also remains accurate and safe?
🎥 Watch our webinar: AI Scribes for Clinical Practice
This session will teach you practical skills on how to use these tools effectively and safely.
The session is led by Dr Ritchie Verma, faculty at the Yale School of Medicine and a dual board-certified physician in Internal Medicine and Clinical Informatics. He’s been involved in wide-ranging research on the safe and effective use of AI.
📚 During the webinar, he’ll discuss:
• How to evaluate and select an AI scribe
• Practical workflows before, during, and after a patient visit
• How to detect hallucinations, bias, and inaccurate documentation
• What current research shows about AI scribes and clinician workload
🩺 Clinical walkthrough
Dr Verma will also walk the audience through a clinical case and demonstrate how clinicians can interact with an AI scribe and quickly assess the note it generates.
0:00 Welcome and introduction
6:48 What AI scribes do and how they work
21:37 Limitations: accuracy, bias, and privacy
36:00 Safeguards and best practices
52:13 Clinical case walkthrough
1:06:51 Q&A: hallucinations, jargon, and audio storage
1:17:46 Closing
AI scribes are one of the top use cases of AI among clinicians.
The promise is appealing: instead of spending seven minutes writing a note, these programs claim that the same documentation can be generated in about a minute.
If that holds true, it could meaningfully reduce documentation burden and be a game changer for burnout. But the reality is more complicated. AI scribes can also hallucinate details, omit important clinical information, or produce notes that take longer to correct than they would have taken to write.
So how should we as clinicians use them in a way that helps us save time but also remains accurate and safe?
🎥 Watch our webinar: AI Scribes for Clinical Practice
This session will teach you practical skills on how to use these tools effectively and safely.
The session is led by Dr Ritchie Verma, faculty at the Yale School of Medicine and a dual board-certified physician in Internal Medicine and Clinical Informatics. He’s been involved in wide-ranging research on the safe and effective use of AI.
📚 During the webinar, he’ll discuss:
• How to evaluate and select an AI scribe
• Practical workflows before, during, and after a patient visit
• How to detect hallucinations, bias, and inaccurate documentation
• What current research shows about AI scribes and clinician workload
🩺 Clinical walkthrough
Dr Verma will also walk the audience through a clinical case and demonstrate how clinicians can interact with an AI scribe and quickly assess the note it generates.
0:00 Welcome and introduction
6:48 What AI scribes do and how they work
21:37 Limitations: accuracy, bias, and privacy
36:00 Safeguards and best practices
52:13 Clinical case walkthrough
1:06:51 Q&A: hallucinations, jargon, and audio storage
1:17:46 Closing
