Driving Healthcare Transformation Through Generative AI
1 OVERVIEW
Generative AI has the potential to revolutionize patient care by improving efficiency , quality , and patient experience . This paper explores how generative AI can be used to enhance patient outcomes , quality of care and improve the experience of the healthcare professionals . We will look at scenarios such as generating patient summaries to reduce the preparation time it takes for the physician and healthcare professionals ahead of a patient visit or procedure .
Likewise , generating personalized patient instructions , based on the specific needs of the patients as well as follow-up activities after the visit or discharge from the hospital . We will look at driving clinical efficiencies by generating advanced notes based on the discrete data captured during the patient visits , such as vitals , form entries and dictation from the physician .
Such advanced notes can help drive referrals to other physicians as well as assist with the medical billing . Finally , from the patient perspective , in generating explanations of the insurance claims . This paper will then go into high level architecture and technology considerations for Generative AI solutions in the healthcare industry .
1.1 INTRODUCTION
The origin of Artificial Intelligence ( AI ) traces back to the 1950s . While Generative AI ( referred as GenAI , henceforth in this paper ) does not have a specific origin , Ian Goodfellow and his colleagues who wrote the paper in 2014 on GAN ’ s titled “ Generative Adversarial Nets ” are recognized as the most influential force behind GenAI . GenAI is still evolving and there are many contributors for the same . The paper titled “ Attention is All You Need ” by Vaswani et al from 2017 , is considered the seminal work for Transformer Learning . The Transformer Architecture , introduced in this paper , is the foundation for Large Language Model ( LLM ), including GPT-3 , LaMDA and BERT 1 .
As we look at the current landscape of AI , as shown by Figure 1-1 , GenAI is at the peak of the Hype Curve for AI in 2023 , according to Gartner 2 . As a result , it is quite logical to explore the use of GenAI in the healthcare industry . While there is no single or formal definition of GenAI , it generally refers to the use of AI to produce text , images , insights , software code and similar content , based on training information . The GenAI models are often trained on large datasets of existing information to allow the models to learn about the patterns and relationships in the data . Let ’ s look at LLMs . Once trained , the LLMs can be used for application such as :
• Summarization of textual information ,
• Text or idea creation ,
1 https :// arxiv . org / abs / 1706.03762
2
https :// www . gartner . com / en / articles / what-s-new-in-artificial-intelligence-from-the-2023-gartner-hypecycle
Journal of Innovation 87