Over the past few weeks, we have seen an ever-increasing number of companies that integrate generative artificial intelligence (AI) into their products. ChatGPT or other Large Language models are being added to features from Notion, Salesforce, Shopify, Quizlet, and others. What is the impact on healthcare? It will improve our last mile with our patients. This is huge as Engaging patients improves outcomes. Or said differently, Large Language Models (LLM) will save lives.
Large language Models have existed for several years, with their development and popularity growing rapidly since the mid-2010s. The rise of large-scale neural networks and advancements in natural language processing (NLP) techniques have enabled the creation of increasingly powerful language models. All of those models are so-called transformers and were initially introduced in 2017 by Vaswani et al.. There were a few very successful early adopters for example ultimate.ai, a company that automates every aspect of customer support (disclaimer: I am an early investor in ultimate). Chat GPT4 and others have dominated our public discussion lately. They are not the only transformers. Other well-known models are GPT, BERT, Chinchilla, Gopher, Bloom, MT-NLG, PaLM, LaMDA, the list goes on.
Large Language Models (LLMs) are different from the “traditional” Machine Learning models. Traditional AI is used to recommend your next movie at Netflix or determine whether some mail is spam or not. In healthcare, traditional models predicted disease deterioration or helped to detect cancer. LLMs can be used for those tasks formerly done by more traditional models and yes, those foundation models might have better predictive accuracy and work with multimodal data, but in healthcare the major impact will be that we are about to change the way human-AI interaction will work.
LLMs allow a new way to interact with technology. See Microsoft’s new AI-powered Copilot in action. As Satya Nadella said in his announcement: “We are here today to talk about something that’s very fundamental to the human experience, the way we work. Most specifically, the way we work with computers. In fact, we’ve been on this continuous journey towards human-computer symbiosis for several decades.”
In my day job as President of Product and Technology at Marpai Inc., a Third Party Administrator. Our core aim is to help self-insured companies not only to administer their claims but as well our members to find the best provider for their needs. The landscape digital health startups is exploding. In 2021 alone we saw $29.1B of capital being invested by Venture Capitalists and many of those are adding LLMs to their products. They are using AI technology to create personalized messages to help patients. An AI-powered chatbot from a Value-Based Care (VBC) provider that sends tailored advice based on a user’s personal preferences. A knowledge base system explains a potential diagnosis and educates patients on pathways. Those and other solutions will go a long way toward helping patients stay engaged with their health goals over time and remain adherent.
Healthcare providers are increasingly utilizing the immense potential of Foundation Models to promote patient engagement and adherence. By combining AI technology with traditional methods such as care management programs or wellness initiatives, healthcare providers have an enhanced opportunity for achieving better outcomes at lower costs – all while providing personalized, human-centric care.
It’s an exciting time, let’s find all those great best AI-driven approaches for our healthcare system.