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**

Time: Based on Taiwan Time Zone (GMT+8) Friday, August 10,

Venue: Taipei International Convention Center (TICC), Taipei, Taiwan 2025 201F, 2F

** Agenda **

Workshop WS14

Super Theme:

TRACK 3: Health Data Science & Artificial Intelligence

Theme:

Theme 2 - Applications

Organisers:

Jitendra JONNAGADDALA, Hong-Jie DAI, Ching-Tai CHEN, Liang-Jun Fang, and Chao-Long Huang

Time: 09:00-10:30 (GMT+8)

09:00-09:05

Jitendra Jonnagaddala 

Chair Opening Remarks

Welcome message and introduction (host & participants)

09:05-09:15

Liang-Jun Fang 

Presentation Topic: Overview of AICUP 2025 Spring Challenge

09:15-09:25

Jheng-Hao Li 

Participating Team Presentation (Rank 14)

09:25-09:35

Participating Team Presentation (Rank 7)

09:35-09:45

Participating Team Presentation (Rank 6)

09:45-09:55

Participating Team Presentation (Rank 4)

09:55-10:05

Participating Team Presentation (Rank 3)

10:05-10:15

Yuan-Chi Hsu

Participating Team Presentation (Rank 2)

10:15-10:25

Chao-Long Huang 

Participating Team Presentation (Rank 1)

10:25-10:30

Group Photo and Closing

** Submission information ** (deadline 1st August 11:59PM GMT+8)

https://www.sredhconsortium.org/sredh-workshops/2025-iw-dmrn/submission-information 

References

1. Jonnagaddala.J , Z.S.-Y.W., Privacy-preserving Strategies for Electronic Health Records in the Era of Large Language Models. npj Digital medicine, 2025. https://doi.org/10.1038/s41746-025-01429-0 

2. Jonnagaddala.J, Dai.H.-J., Chen.C-T . SREDH. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. Springer CCIS 2025.https://doi.org/10.1007/978-981-97-7966-6 .

3. Jonnagaddala, J., Chen, A., Batongbacal, S., & Nekkantti, C. (2021). The OpenDeID corpus for patient de-identification. Scientific reports, 11(1), 19973. https://doi.org/10.1038/s41598-021-99554-9 

4. Chen, A., Jonnagaddala, J., Nekkantti, C., & Liaw, S. T. (2019). Generation of Surrogates for De-Identification of Electronic Health Records. Studies in health technology and informatics, 264, 70–73. https://doi.org/10.3233/SHTI190185 

5. Alla, N. L. V., Chen, A., Batongbacal, S., Nekkantti, C., Dai, H., & Jonnagaddala, J. (2021). Cohort selection for construction of a clinical natural language processing corpus. Computer Methods and Programs in Biomedicine Update, 1, 100024. https://doi.org/10.1016/j.cmpbup.2021.100024

6. Liu, J., Gupta, S., Chen, A., Wang, C. K., Mishra, P., Dai, H. J., Wong, Z. S., & Jonnagaddala, J. (2023). OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study. Journal of medical Internet research, 25, e48145. https://doi.org/10.2196/48145 

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