HEAL
AI for Hospital Discharge Letter (LDO) Generation
Objective
To verify the effectiveness of the adoption of Large Language Models (LLMs) and generative artificial intelligence (AI) to equip clinicians with advanced tools for data analysis and processing
Scope | Support to physicians for assisted generation of the text of a draft hospital discharge letter (LDO) |
Data | Anonymized clinical data (in-depth studies on privacy aspects are underway) |
Methodology | Proprietary LLm (EngGPT Milo), CDR (Clinical data repository) |
Proponent | IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico di Sant'Orsola |
Collaborations | Engineering Ingegneria Informatica s.p.a. |