Programs like ChatGPT have the potential to greatly diminish your administrative burden. But how do you get started — and can you trust them?
Near the end of 2022, a group called OpenAI launched ChatGPT, a large language model (LLM) artificial intelligence (AI) chatbot. It may have seemed like a novelty at first (e.g., “Write a poem about Medicare in the style of Hamilton”), but it soon became apparent that ChatGPT and AI models like it could have huge implications for education, business, and even medicine.
By January 2023, ChatGPT had become the fastest-growing consumer software application in history, reaching 100 million users in just two months (TikTok held the previous record at nine months).1 Before the end of the year, other companies launched similar products, such as Google's Bard (now Gemini) and Microsoft's Bing Chat (now Copilot).
AI is here to stay and will likely become more embedded in our daily lives in the coming years. If used properly, it could be a tremendous boon to primary care physicians, potentially ridding us of administrative tasks that are a leading source of burnout.2 But, as with any new technology, there are downsides. This article seeks to illuminate some of the ways AI can help primary care practices now and in the near future — and some of the ways AI could be downright dangerous.
KEY POINTS
- New artificial intelligence (AI) systems such as ChatGPT can reduce administrative burden, but their current shortcomings make it inadvisable to use them to aid clinical decision making.
- Tasks AI can help with now include drafting prior authorization requests, rewriting medicolegal forms in more patient-friendly language, and explaining normal test results.
- Proprietary or HIPAA-protected information should only be submitted to closed, private AI systems, not open systems such as ChatGPT.
WHAT IS AI?
At its most basic, AI is when computers try to mimic how the human brain works, learning from the information (data) they take in and becoming progressively more capable.
AI has existed in various forms for decades, but what's different about ChatGPT and other LLMs is the sheer amount of data they are able to process and their ability to be “generative.” Generative AI can take a prompt from a user (an input as text, image, etc.) and can output almost instantly a novel response based on what it has learned from a massive corpus of existing data. Using Google or another traditional search engine is like looking through books in a library yourself and copying down what one author wrote. But using a generative AI program is like having an assistant who can look through all the books in the library and synthesize all of that information into a brand new answer.
Read the full article
Get immediate access, anytime, anywhere.
Choose a single article, issue, or full-access subscription.
Earn up to 5 CME credits per issue.
