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Public Health On Call

646 - ChatGPT and Public Health

Public Health On Call

The Johns Hopkins Bloomberg School of Public Health

Medicine, Health & Fitness, News

4.6644 Ratings

🗓️ 7 August 2023

⏱️ 18 minutes

🧾️ Download transcript

Summary

ChatGPT has lots of potential for use in public health, but how well does it actually perform? Public Health On Call intern Caroline Wang and Lindsay Smith Rogers discuss three potential uses—seeking personal medical advice, public health research for students, and as a practical resource for practitioners. They go over some specific prompts and analyze what the chatbot does well and where it's limited. Caroline is a Masters of Health Science student at the Johns Hopkins Bloomberg School of Public Health studying clinical epidemiology and has been an intern for the podcast since March 2020.

Transcript

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0:00.0

Welcome to Public Health On Call, a podcast from the Johns Hopkins Bloomberg School of Public Health,

0:05.9

where we bring evidence, experience, and perspective to make sense of today's leading health challenges.

0:16.3

If you have questions or ideas for us, please send an email to public health question at jh.

0:21.6

Jh.edu.

0:23.6

That's public health question at jh.u.edu for future podcast episodes.

0:29.6

This intro was written by Chat GPT.

0:34.6

In this episode, a curious student and an interviewer team up to explore

0:40.0

the fascinating world of artificial intelligence. Our student intern will craft thought-provoking

0:45.8

prompts for Chat GPT and advanced language model to generate responses. Join us as we interpret

0:53.0

the AI's answers, unravel its capabilities,

0:56.5

and gain insights into the cutting edge AI landscape. And this intro was written by me,

1:02.6

Lindsay Smith Rogers. Today I speak with our podcast intern Caroline Wang about the potential

1:08.1

uses of chat GPT in public health. From asking for personalized medical

1:13.0

advice to designing surveys for local health departments, we'll discuss what the chatbot does well

1:18.6

and where it's limited. Let's listen. Caroline, thank you so much for being on the podcast with us today.

1:26.5

Yeah, of course. Thank you so much for inviting me.

1:28.7

I love being here.

1:30.1

Yeah.

1:30.7

So let's talk really quickly.

1:31.9

I want to give people an introduction to you because you've been part of this podcast since the very beginning, since March 2020.

1:39.3

You've been our intern.

1:41.5

So tell us how did that happen?

...

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