The Future of Healthcare: Embracing Generative AI for Product Management
by?Shervin Majd?and?Connie Kwan
How should Product Management leverage AI in Healthcare??
Healthcare is on the precipice of transformative change. While Artificial Intelligence (AI) has been making headway for some time now, a particularly promising subfield - Generative AI, also known as Large Language Models (LLMs), such as OpenAI's GPT-3 or its latest GPT-4, is beginning to leave a profound mark with deep implications for Healthcare. Product Management teams operating in healthcare can leverage these technologies to advance the industry.Healthcare product management is a subset of product management. And as such, there are general principles that guide useful application of Generative AI. Here we will review those first. Then hone in on healthcare more specifically.
Where is Generative AI useful for product management in general?
It’s tempting to apply Generative AI or LLMs everywhere, but there are limitations. LLMs and humans will both be inherently better at different areas because we operate differently.
LLM vs. Human
Replicate vs Understand
General vs Contextual
Historical learning vs Real time learning
Therefore, Product managers using LLMs should seek to do so in areas where critical thinking and scientific or domain knowledge are of lesser importance.
For example, LLMs are valuable in conducting market research, developing product positioning and messaging, and product marketing. LLMs can also assist in data analysis and synthesis when conducting market research.
However, where human interpretation and decision-making are key components, then LLMs are not as useful.
For example, tasks like creating a go-to-market strategy, conducting user analysis, and identifying user needs and pain points are not good for LLMs because they rely heavily on critical thinking and domain knowledge.
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Where are LLMs useful for product management in healthcare?
Let’s take the conversation back to healthcare now. Keep in mind that LLMs are great in areas that do not require critical thinking and domain knowledge. We would like to highlight 3 areas in healthcare that LLMs are well positioned to transform.
1: LLMs will increase Information Accessibility ??
LLMs are built on a foundation of natural language processing (NLP), capable of generating, and translating human-like text. This feature has far-reaching implications for the base-level functions in healthcare, as it could enhance the ability of health systems to collect, interpret, and communicate medical information.
From the patient's perspective, an AI-powered system leveraging a Language Model (LLM) could enhance accuracy and provide near real-time support in delivering health information, answering queries, and addressing doubts. For practitioners, these models could aid in interpreting complex medical reports, streamlining consultations, and improving patient-doctor communication.
A noteworthy example comes from Epic, who recently made an exciting announcement.
Read the rest here: https://www.productmaestro.com/blog?p=future-of-healthcare-generative-ai-product-management
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