Open Evidence-Krafty Librarian

 

Did you catch the Krafty Librarian's post, "OpenEvidence: Smart Medicine or Smart Marketing?"  After meeting our new Internal Medicine Program Director, who had questions about it, I’ve been dabbling with OpenMedicine myself. While Michelle reports accurately that you need an NPI to create an account; I just used my hospital's NPI, and I was in without issue. (If you want a way around that)

The big question, of course, is its utility. I recently leveraged it not as a substitute for a comprehensive search, but to add to one. Specifically, I used it to reinforce my search results on best practices literature, giving me a quick double-check on established evidence to ensure I had a complete picture.

The original blog post raises vital questions about balancing slick presentation with true evidence integrity, and it challenges us to place resources like OpenEvidence in the correct context for our users. Is it a time-saver? Yes. Is it a perfect primary source? Probably not. We need to be the critical thinkers guiding our clinicians and researchers through the noise. 

https://kraftylibrarian.com/openevidence-smart-medicine-or-smart-marketing/ 

AI in Medicine with Dr. Brian Patterson : WHSLA Web Conference 23 Summary

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.

For more reading, check out this book mentioned by Dr. Patterson: AI Revolution in Medicine: GPT-4 and Beyond. It may tell the all-too-rosey side of the AI story. 

For another POV, check out this recent Medlib-L post on AI for cataloging and literature searches. 

Prompt by JPxG, model by Boris Dayma, upscaler by Xintao Wang, Liangbin Xie et al. (Apache License 2.0 or BSD), via Wikimedia Commons

NNLM Discovery | The Future of AI in Medicine (Season 1/Episode 8)

NNLM Discovery Podcast Series (Season 1)

98 views • Apr 19, 2023 • NNLM Discovery Podcast Series (Season 1)

The Future of AI in Medicine (Season 1/Episode 8) on You Tube

Artificial intelligence is transforming our everyday lives. It also has the potential to transform medicine. On this special episode of the NNLM Discovery Podcast, we spotlight some of the groundbreaking research being done at the National Library of Medicine (NLM). Guest producer Griff Partington interviews Dr. Sameer Antani, a Principal Investigator at the NLM doing research in medical imaging, machine learning, and artificial intelligence. 

Dr. Antani explains the differences between Machine Learning and AI and discusses how Computer Vision can be applied to screen for diseases such as cervical cancer, sickle cell disease and tuberculosis. You can learn more about Dr. Antani’s work here: https://www.nlm.nih.gov/research/rese... 

At NNLM discovery we’ve jumped on the AI bandwagon too. All of the artwork for this podcast series has been created with a generative AI tool! 

The NNLM is the outreach arm of the National Library of Medicine with the mission to advance the progress of medicine and improve the public health by providing all U.S. health professionals with equal access to biomedical information and improving the public's access to information to enable them to make informed decisions about their health. 

Join Outreach Services Librarian, Yamila El-Khayat, every week through March 29th for a new episode of the NNLM Discovery podcast. You can subscribe on Apple Podcasts, Spotify, Amazon Music, Google Podcasts, or listen on our website www.nnlm.gov/podcast. Please be sure to like, rate, and review the show!