Friday afternoon of the WHSLA conference featured a fireside chat with Dr. Brian Patterson, Associate Professor and Medical Informatics Director for Predictive Analytics and Clinical Decision Support, UW Health.
Dr. Patterson shared his knowledge of artificial intelligence including large language models (LLMs) such as ChatGPT and how they have evoloved over time and will continue to evolve.
What are
people doing with AI in Medicine? People are
using 3rd party apps on the web like Nabla Copilot, DocsGPT. Many
companies have outlawed these tools *, but people will be using them anyway on
their personal devices because they see the value in it.
Dr. Patterson
expects there will eventually be integration with existing IT products --
including the EPIC project that you mentioned--as businesses license closed
shop versions that won't recycle and sell company secrets.
He suggested
that AI would be more of a trust-but-verify copilot, "like a book-smart
intern who comes in hung-over sometimes" vs. "the crystal ball is
broken if it doesn't always get the right answer."
- ChatGPT for discharge instructions
- Drs will spend less time on documentation and other drudge work, which may
reduce burnout
- These tools make it very easy to draft content, but the end-user is
still responsible for the final draft.
During the Q&A portion questions were posed about the reliability of ChatGPT especially in regards to citing accuracte evidence and not hallucinating (i.e. making up citations). This is something that ChatGPT might get better at in the future, but human authors using LLM tools will always need to verify, confirm, and attest to the content they create with the help of ChatGPT.
Dr. Patterson shared that he has been surprised that the uptake and interest in adopting new LLM technologies has happened as quickly as it has. Right now UW-Health is working with Epic to use AI: UW Health using Microsoft AI in Epic Systems medical records (news article). It's likely that more and more health systems will allow uses of AI as the technology evolves and the benefits are seen. One area Dr. Patterson hopes AI can help with is by decreasing paperwork burdens such as charting on providers. An April 5, 2023 story on NPR talked about just that.
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