2025 International workshop on Deidentification of Electronic Medical Record Notes (IW-DMRN)
Workshop information
This international workshop will be held as a closing event for the SREDH/AI-Cup 2025 Deidentification competition. The workshop will be held during the 2025 MedInfo 2025 ( 9th to 13th August 2025, Taipei, Taiwan). The workshop will have presentations from top performing teams that participated in SREDH/AI-Cup 2025 Deidentification competition
Artificial intelligence (AI) and natural language processing (NLP) have played transformative roles in advancements in healthcare, with large language models (LLMs) proven to be prominent in clinical decision-making and electronic health record (EHR) processing. LLM-driven systems analyse complex medical data and assist with diagnosis, treatment planning, and personalized medicine. However, safeguarding sensitive health information (SHI) embedded in EHRs and exchanged during doctor-patient interactions remains challenging. The first International Workshop on Deidentification of Electronic Medical Records Notes (IW-DMRN), which focused on LLM-based approaches for SHI deidentification, was held on 15th January 2024. By considering the outcomes of the first workshop [1-3], the 2nd IW-DMRN workshop is proposed with the primary objective of developing advanced AI algorithms capable of identifying and replacing SHIs effectively from medical speech datasets.
** Final date and venue**
Coming soon
** Agenda **
Coming soon
References
Jonnagaddala.J , Z.S.-Y.W., Privacy-preserving Strategies for Electronic Health Records in the Era of Large Language Models. npj Digital medicine, 2025.
Jonnagaddala.J, Dai.H.-J., Chen.C-T . SREDH. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. Springer CCIS 2025.
Gupta.S, Alla.N.L.V, Panchal. O, Jonnagaddala. J . Evaluation of OpenDeID Pipeline in the AI-Cup 2023 Challenge for Deidentification of Sensitive Health Information , paper presented at the Proceedings of the 2024 International Workshop on Deidentification of Electronic Medical Record Notes, Kaohsiung, Taiwan. 2024.
Chair
Jitendra Jonnagaddala – UNSW Sydney, Australia
Organizing and editorial committee
Jitendra Jonnagaddala – UNSW Sydney, Australia
Hong-Jie Dai - National Kaohsiung University of Science and Technology, Taiwan
Ching-Tai Chen - Asia University, Taiwan
Yung-Chun CHANG - Taipei Medical University
Organizers
Sponsors
