Paperback. This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. They focus on the foundational requirement for enabling the safe, scalable, and ethical secondary use of healthcare data. Clinical documentation and patientclinician communications. This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech (Paperback)
Publisher: Springer Verlag, Singapore
Publication Date: 2026
Language: English
ISBN 10: 9819222818
ISBN 13: 9789819222810
Binding: Paperback
Condition: new

About this title

Synopsis

This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.
The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. They focus on the foundational requirement for enabling the safe, scalable, and ethical secondary use of healthcare data. Clinical documentation and patient–clinician communications.

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