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LLMs in Healthcare 101
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Things You'll Get From This Course
Breakdowns
Case Studies
Hands-on exercises
Community
Payal Patnaik is a healthcare data product leader, working at the intersection of healthcare delivery transformation, emergent tech, and product for the past 12+ years. She moonlights as a singer-songwriter and you might spot her lugging around her GS mini guitar in the Camerville, Massachusetts area.
Most recently, she led AI/Machine Learning product management at One Medical. Her team launched 6 LLM services and products within Amazon Health Services at One Medical within its first year. She internally trained product managers and designers on designing, experimenting, and building LLM services and products. Previously, she led the data product organization at Iora Health and the value-based care data product organization at One Medical.
She’s worked at athenahealth, Devoted Health, and served as a Medicaid policy consultant on value-based care delivery transformation through data science, policy, and products focused on patient and provider engagement. She believes that building a community of learning behind healthcare innovation is the fastest, most effective way to change the status quo of delivering healthcare.
Course Syllabus & Schedule
Module 1
Day 1
Introduction and discovering healthcare problems
(12/9, 12-1:30pm EST)
Module 2
Day 2
Designing for Safety
(12/11, 12-1:30pm EST)
Module 3
Day 3
Experimenting with LLMs
(12/16, 12-1:30pm EST)
Module 4
Day 4
Interactive Decision Workshop
(12/18, 12-1:30pm EST)
Module 5
Day 5
Module 6
Day 6
Module 7
Day 7
Module 8
Day 8
Module 9
Day 9
Module 10
Day 10
Frequently Asked Questions
Who is this course for?
Anyone looking to understand why LLMs are important and develop working intuition of LLMs. Past attendees include:
- Product managers, data scientists, and engineers at healthcare companies looking to get a deeper product lens on using LLMs
- Several Head of Engineering/CTO/senior engineering management at early to middle stage health tech startups
- Former product, analytics, and engineering senior leaders at healthcare companies who want to bring an LLM perspective to their next gig
How much is it?
The current price for the course is $1500. For corporate bulk discounts, email us at payal@outofpocket.health.
Do I have to be at every session? How long are they?
Each session is 1.5 hours, and the course consists of 4 sessions. Recordings will be available the night after the session, but you’ll get a lot more from engaging live and asking questions.
Will I be a LLM expert after finishing this course?
No. This course is meant to give you foundations to help you build intuition on LLM opportunities. We’ll practically ground this material in what it takes to scale a prototype into a product. We’ll introduce some technical concepts and nuances to look out for, but won’t deep dive into engineering development with LLMs. After this class, you should walk away with a first principles perspective of building with emerging tech, with probabilistic systems. This includes some guidelines on building safe, responsible products - from decreasing the risk of LLM hallucinations to designing systems that prioritize patient safety and emphasize human-centered care.
Is there a lot of work?
We believe that you will get out what you put in. You could just watch the lectures and learn something, and use the slides from class as reference guides after the class. However, synchronously engaging with the Slack community, resources, and homework as they are available will help you grasp concepts better in class.
I have another question not answered here
Email us at payal@outofpocket.health and we’ll get back to you as soon as we can.