LG AI Research· EXAONE

1st Place in EHRSQL 2024: Practical Text-to-SQL System for Electronic Health Records

LG AI Research and KAIST received 1st place in the EHRSQL shared task at the 6th Clinical Natural Language Processing Workshop (ClinicalNLP 2024) at NAACL 2024. Our model accurately translates natural language questions into SQL queries for Electronic Health Records (EHRs) while reliably abstaining from answering unanswerable questions. This accomplishment showcases potential of LG AI Research and KAIST to improve healthcare decision-making through an accurate and practical text-to-SQL system. Artificial intelligence (AI) is transforming the healthcare industry, offering solutions to enhance patient care, clinical research, and administrative efficiency. From early disease detection to personalized treatment recommendations, the ability of AI to analyze and interpret vast amounts of data is revolutionizing the way healthcare is delivered. One such critical application is in the accessibility of Electronic Health Records (EHRs), where AI models enable healthcare professionals to quickly extract valuable insights from complex datasets, thus improving clinical decision-making and, ultimately, patient outcomes. Figure 1. …

Announced

20 May 2024 00:00 UTC

Detected

28 Aug 2026 22:20 UTC (+830d after)