#12 - Mona Baset: Generative AI, LLMs and the future of healthcare

05/25/23 • 40 min

In this episode, Mona sits down for an in-depth conversation with Dr. Muthu Alagappan, chief medical officer at Notable. Among other things, the two discuss:

How Intermountain Health thinks about and sets out to build consumer-grade experiences for its patients

How advanced technology is augmenting human healthcare workers

Why it is important to incorporate empathy into any ROI calculation

And much more.

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As Vice President of Digital Services at Intermountain Health, Mona Baset leads digital strategy and transformation, including the development and implementation of the digital technology roadmap. She was also appointed by the Governor of Colorado to serve on the state’s eHealth Commission.

Prior to that, Mona was a leader in the technology organization at Atrium Health, leading consumer engagement strategies. Previously, Mona spent almost 10 years at Bank of America, where she led various marketing and communications teams.

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Outline

Here are the timestamps for this episode.

(00:00) - Intro

(00:52) - The motivation to work in healthcare

(01:48) - Does healthcare lag in consumer technology adoption?

(03:24) - Best-in-class consumer technology from a health system POV

(04:47) - Amazon’s consumer experience vs. the healthcare experience

(07:34) - Building the consumer experience at Intermountain Health

(10:04) - Prioritizing the work

(11:09) - Factors that influence the build vs. partner decision

(13:07) - How Design Thinking applies in healthcare

(20:32) - Quantifying the ROI of empathy

(25:01) - How Intermountain Health thinks about time horizons for digital projects

(26:59) - Intermountain’s best partners have these common characteristics

(28:34) - The impact of ChatGPT and large language models in healthcare

(33:31) - Does technology augment human workers or eliminate the need?

(40:54) - End

Relevant links

Mona Baset on LinkedIn

Dr. Alagappan on LinkedIn and Twitter

Notable on LinkedIn

* Notable Perspectives

In this episode, Mona sits down for an in-depth conversation with Dr. Muthu Alagappan, chief medical officer at Notable. Among other things, the two discuss:

How Intermountain Health thinks about and sets out to build consumer-grade experiences for its patients

How advanced technology is augmenting human healthcare workers

Why it is important to incorporate empathy into any ROI calculation

And much more.

—-

Outline

Here are the timestamps for this episode.

(00:00) - Intro

(00:52) - The motivation to work in healthcare

(01:48) - Does healthcare lag in consumer technology adoption?

(03:24) - Best-in-class consumer technology from a health system POV

(04:47) - Amazon’s consumer experience vs. the healthcare experience

(07:34) - Building the consumer experience at Intermountain Health

(10:04) - Prioritizing the work

(11:09) - Factors that influence the build vs. partner decision

(13:07) - How Design Thinking applies in healthcare

(20:32) - Quantifying the ROI of empathy

(25:01) - How Intermountain Health thinks about time horizons for digital projects

(26:59) - Intermountain’s best partners have these common characteristics

(28:34) - The impact of ChatGPT and large language models in healthcare

(33:31) - Does technology augment human workers or eliminate the need?

(40:54) - End

Relevant links

Mona Baset on LinkedIn

Dr. Alagappan on LinkedIn and Twitter

Notable on LinkedIn

* Notable Perspectives

Previous Episode

#11 - Kevin Huang: AI, machine learning and large language models in healthcare

In this episode, Kevin sits down for an in-depth conversation with Dr. Muthu Alagappan, chief medical officer at Notable. Among other things, the two discuss the field of artificial intelligence, how things like machine learning, deep learning, transformers, and large language models stand to impact the healthcare industry, and why now is the time for health systems to embrace technology solutions that are built around these latest technological advancements.

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Kevin Huang serves as Head of Data and Machine Learning for Notable, where he leads the development of the company’s intelligence platform, starting in the early days of natural language processing to work on incorporating large language models. Prior to Notable, Kevin was a data science technical lead at Change Healthcare. He holds a Ph.D. in electrical engineering from Stanford University, where he built computer simulations and new algorithms to study nanoscale LED devices.

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OUTLINE

Here are the timestamps for this episode.

(00:00) - Intro

(00:46) - What is artificial intelligence?

(03:00) - The differences between artificial intelligence and machine learning

(07:03) - Deep learning and natural language processing (NLP)

(11:53) - Limitations of NLP in healthcare

(14:49) - How do transformers connect NLP to large language models (LLMs)?

(18:43) - Defining large language models

(22:31) - Key AI terms summarized and defined

(23:51) - How do you create an LLM?

(25:44) - Limits to the power of LLMs

(29:55) - How to differentiate when everyone is using the same LLM

(33:33) - LLM use cases in healthcare

(39:18) - Safety, security, and LLMs

(44:18) - End

Relevant links

Kevin Huang on LinkedIn
Dr. Alagappan on LinkedIn and Twitter
Notable on LinkedIn
Notable Perspectives

Next Episode

#13 - Ilana Golbin: Responsible AI and its application in healthcare

In this episode, Ilana sits down for an in-depth conversation with Dr. Aaron Neinstein, chief medical officer at Notable. Among other things, the two discuss:

What organizations look and function like when they are taking the right approach to responsible AI

How responsible AI is similar to the ‘rules of the road’ that keep us organized, safe, and able to get to where we want to go quickly when driving

Where healthcare organizations typically start with responsible AI

And much more.

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Ilana is Director and Responsible AI Lead at PwC US, where she serves as one of the leads for Artificial Intelligence. Ilana specializes in applying machine learning and simulation modeling to address client needs across sectors regarding strategic deployment of new services, operational efficiencies, geospatial analytics, explainability and bias.

Ilana is a Certified Ethical Emerging Technologist, is listed as one of 100 “Brilliant Women in AI Ethics” in 2020, and was recently recognized in Forbes as one of 15 leaders advancing Ethical AI. Since 2018, she has led PwC’s efforts globally in the development of cutting-edge approaches to build and deploy Responsible AI.

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Outline

Here are the timestamps for this episode.

(00:00) - Intro

(02:00) - Defining Responsible AI

(05:25) - Who typically ‘owns’ responsible AI within an organization?

(08:10) - Why responsible AI should fit within existing governance capabilities

(10:42) - The differences in responsible AI for builders vs. implementers

(13:33) - Who is doing responsible AI the right way? What are examples?

(16:30) - How a good governance program is like the rules of the road for driving

(19:10) - Where organizations have ‘gone wrong’ with responsible AI - common themes

(24:13) - Where healthcare executives should start with responsible AI