Quality patient data is crucial for clinicians to identify populations needing care and target interventions, according to Brandi Meyers, VP of Revenue Operations at healthcare analytics firm MDClone. High-quality data allows for population health initiatives, prevention, and treatment plans. However, Meyers highlighted the challenge of data fragmentation and regulatory constraints in the US and emphasised the importance of efficient analytics and robust data governance. She also stressed regular communication between health practitioners and IT departments to ensure shared goals.
New LLM jailbreak uses models’ evaluation skills against them
Researchers from Palo Alto Networks have discovered a method of exploiting large language models (LLMs) to generate harmful content, including malware or harassment, calling it
