Large language models will soon become a much bigger part of doctors’ clinical workflows, former FDA Commissioner Scott Gottlieb said Tuesday at the 3rd Annual Summit on the Future of Rural Health Care.
Try a variety of LLM-based tools yourself. Understand the risks, limitations, and who is working on putting quality frameworks and guardrails in place. Engage your employees and partners in discussions about what might now be possible.
The future looks bright for the integrated specialty pharmacy model – for health systems, providers, and most importantly, for patients.
No one AI technology will address everything and solve all problems, so systems should prioritize those that promise the greatest value and ROI.
It’s important that we focus attention on the areas where AI is already having a significant impact. These are the practical applications that will allow the best and brightest researchers to focus on science rather than data munging.
Researchers at the University of Massachusetts Amherst released a paper this week showing that large language models tend to hallucinate quite a bit when producing medical summaries.
Anthropic's Claude3-Opus performed better than GPT-4, but both fell short of humans on a test of objective medical knowledge. The study was conducted by a firm developing LLMs specifically for healthcare that claim to be incorporating peer-reviewed sources of information.
Hear executives from Quantum Health, Surescripts, EY, Clinical Architecture and Personify Health share their views on digital transformation in healthcare.
Hospitals need to start thinking about ways to build patients’ trust in generative AI in order for the healthcare industry to fully harness the technology’s potential. They can do this through methods like having transparent conversations, asking for patients’ consent to use the tools and training models on internal data, experts said.
Allegheny Health Network rolled out a large language model designed exclusively for use by its staff members. You can think of the tool as the health system’s own version of Chat-GPT, said Ashis Barad, AHN’s chief digital and information officer.
This month, the World Health Organization released new guidelines on the ethics and governance of LLMs in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. However, one leader pointed out that fear or the risks associated with LLMs shouldn't hinder innovation, and another noted that the guidance may have failed to mention a major topic.
Google introduced a new suite of healthcare-focused generative AI models designed to speed up workflows for clinicians and medical researchers. Health systems and medical research organizations, including HCA Healthcare and BenchSci, have been testing these models since April.
Closing cancer health equity gaps require medical breakthroughs made possible by new funding approaches.
A new study led by Stanford researchers tested four commercially available LLMs and found that they all could potentially cause harm by breeding inaccurate, racist information. For example, all models tried to justify race-based medicine when asked questions about calculating patients’ kidney function and lung capacity — two areas where race-based medicine practices used to be common but have since been scientifically refuted.
Healthcare technology experts have confidence that the industry will put the right guardrails up around LLMs as it continues to develop and deploy these AI tools, they said Sunday during a panel discussion at Engage at HLTH.
This year, HCA Healthcare and Google Cloud have expanded their partnership by exploring ways to integrate Google’s generative AI into HCA’s workflows. The most developed project under this initiative is a pilot that began in February in which HCA’s emergency department physicians are testing a voice-enabled medical dictation tool to save them time on clinical documentation.
Regard — a startup selling an AI co-pilot that helps clinicians diagnose medical conditions — announced a new partnership to add to its technology's capabilities. The company is teaming up with OpenAI to release new chatbot functionalities built on OpenAI’s large language model GPT-4.
The healthcare AI space will be an exciting one to watch over the next couple years, as investment dollars flow to startups and providers launch more AI pilots. Two of the most interesting trends to watch will be the use cases that healthcare organizations prioritize when deploying generative AI models, as well as M&A activity within the healthcare AI field, a CB Insights analyst declared during a recent webinar.