Large language models (LLMs) can act as clinical decision support tools by quickly analyzing patient records and suggesting evidence-based solutions. In practice, they provide relevant
guidelines or highlight potential risks that a provider might otherwise overlook.
These models also help summarize complex patient histories, giving clinicians a clearer view of the overall case. They can deliver tailored insights directly at the point of care by integrating with electronic health records.
LLMs learn and adapt as new data becomes available, which makes their recommendations more reliable over time. As these tools become more widely used, they’re set to play an essential role in making utilization management in healthcare both smarter and more effective. However, they must be , with strong oversight and safeguards to ensure accuracy.
