Automated Generation of Discharge Summaries: Leveraging Large Language Models with Clinical Data

Automated generation of discharge summaries: leveraging large language models with clinical data

This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical data. The structured data used to produce AI-generated summaries were manually extracted from electronic health records (EHRs) by a trained medical professional. By leveraging structured documentation collected for research and quality management, the goal is to assist physicians with editable draf…

How AI-powered speech-to-clinical notes is revolutionising clinical documentation

Nora AI transcribes doctors' spoken notes in real-time, converts them into structured clinical documentation and integrates them into Healthbridge’s practice management systems.

Huma Deploys Hi Scribe to Automate Clinical Documentation & Billing With AI - AI-Tech Park

Transforms clinical workflows by auto-generating structured medical notes and billing codes, seamlessly integrated into EHR systems from patient–doctor conversations. Already live across 870 practices and scaling globally through government and enterprise partnerships, including with Wheel. Huma Therapeutics, the global healthcare AI company, today announced the launch of Hi Scribe, a generative AI clinical documentation tool designed to automat…