DeepSeek v. ChatGPT: Why is Healthcare So Expensive in America? (Video)
The AI race heats up with a new kid on the block from China. How did it compare against a popular U.S. genAI engine on a simple healthcare industry question?
How Large Language Models (LLMs) Will Revolutionize Healthcare Administration
By automating repetitive tasks, improving accuracy, and enabling data-driven decisions, LLMs promise to optimize processes, reduce costs, and free healthcare systems to focus on strategic goals.
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The Top 6 Best Analytics Tools for Health Care Revenue in 2025
Finding the best analytics tools for health care revenue management can revolutionize operational processes. Compare the leading software options to discover helpful team resources.
‘You Almost Have to Be Doing It’: Why Scott Gottlieb Thinks All Doctors Will Use LLMs Soon
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.
We’re Overcomplicating Healthcare AI — Here’s How We Achieve Impact Beyond The Hype
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.
How Often Do LLMs Hallucinate When Producing Medical Summaries?
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.
Study: LLMs Identify Mental Health Crises with Accuracy Comparable to Clinicians
OpenAI’s GPT-4 was able to identify suicidal ideation with similar accuracy to clinicians, but in a much shorter amount of time, a new study from Brightside Health found.
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The Top-Rated Orthopedic Surgery Centers in the Houston Area and Beyond
Discover Houston's best orthopedic surgery centers and what features — from personalized treatment plans to rehabilitation services — make these top providers stand out in their industry.
In This Round, Humans 1, AI LLMs 0
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.
How Large Language Models Will Improve the Patient Experience
LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered.
Revolutionizing Revenue: Unleashing the Power of AI in Denials Management
As the healthcare industry grapples with various challenges, from workforce shortages to complex coding intricacies, embracing AI can empower revenue cycle professionals to envision a future with reduced denials, optimized revenue, and fortified financial health.
How Are Healthcare AI Developers Responding to WHO’s New Guidance on LLMs?
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.
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How to Optimize Your Phlebotomy Setup for Efficient Patient Care
The layout of your phlebotomy station can significantly impact efficiency. A well-thought-out setup ensures that every tool is within reach, minimizing unnecessary movement and reducing patient wait times.
Can AI Compose Clinical Documentation? Absolutely, but with Limits.
A recent academic study of the leading LLM AI models’ ability to read and interpret clinical information demonstrates the incredible power of these tools to support healthcare, but concludes that LLMs should be used as “a supplement to existing workflows rather than as a replacement for human expertise."