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Large Language Models Blog

A medium sized health system can collect a terabyte of free text every year. Manually hiding personal facts at that scale is slow and costly, but a black box computer tool feels risky when you must sign the final compliance form.

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Clara Ferrer still remembers the morning the call came from the regional cancer registry. The researchers had finally received money for a real world study on new cancer drugs, and...
Large Language Models in Telemedicine

Ensuring that electronic health record (EHR) text can be shared without betraying patient privacy is no longer a purely technical exercise. It has become a strategic question of data governance:...

As healthcare organizations increasingly rely on unstructured data like clinical notes, pathology reports, and discharge summaries, de-identifying patient information becomes mission-critical. Whether for research, AI training, or compliance, healthcare providers...

Electronic Health Records (EHRs) hold immense potential for improving oncology care. They contain detailed histories, diagnostic findings, treatment plans, and physician notes, all of which are essential for delivering personalized...

Overview Patient adherence remains one of the toughest challenges in chronic disease management. Generic advice, like “eat healthier” or “exercise more”, often misses the mark, especially when patients face social...