Generative AI in Your Desk Drawer: How to Get There

Previous articles in this series have shown how generative AI can be used for administrative and back-office functions in health care. Now we’ll look at how models are trained for these specific purposes. Training Generative AI Models Every industry has to develop domain-specific models, and health care has the extra burden of protecting personally identifying data. These requirements raise the question of when the general-purpose solutions offered by major tech companies are appropriate, where health care organizations can get large enough data sets to develop models, and how vanilla LLMs—or foundational LLMS—can be enhanced by narrow data sets from a health care provider. Harman Dhawan, founder and CEO of Bikham, says that now there are “fairly cheap” LLMs that providers can build on and customize. Not only are there well-known options from OpenAI and Google, but some LLMs are open source. Jean-Claude Saghbini, President of the Lumeris Value-Based Care Enablement business, says, “Vanilla LLMs can certainly be used within specific solution designs that allow you to constrain and control the output. But in all cases, the use of AI for back-office work requires organizational guardrails. Team members have to be trained on how to use AI responsibly, and that means deploying a change management process to train and adopt this technology safely and effectively. Privacy concerns are an important consideration, particularly when using publicly facing A...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: Administration AI/Machine Learning Health IT Company Healthcare IT Hospital - Health System Abhishek Sharma Administrative Burden Akshay Sharma Arcadia Artificial Intelligence Avanade Back Office Bikham Cameron Andrews CitiusTe Source Type: blogs