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The 6th International Workshop on Health Natural Language Processing 
(HealthNLP 2023) 

ICHI 2023 workshop | June 26th, 2023 | Houston, Texas, USA
The Conference

ICHI Fast track submission

Authors can submit revisions of rejected NLP-relevant papers by ICHI 2023 directly into HealthNLP. To be eligible, authors also need to provide the original submission to ICHI (with paper ID), "final score", reviews, and the response of ICHI. The revision will then be reviewed by one PC member, and final decisions will be made based only on the opinions of HealthNLP's PC members. We hope the new mechanism will produce a result that benefits the HealthNLP workshop.


In the past few decades, we have seen exponential growth in clinical narratives and biomedical articles. As a result, the natural language process (NLP) specialized in biomedicine, which can unlock information from text, receives great attention in the biomedical and clinical domains. Many NLP methods and systems have been developed and have shown promising results in various information extraction, information retrieval, and knowledge discovery tasks. These methods and tools have also been successfully applied to facilitate biomedicine research and support healthcare applications. At the same time, the availability and use of health information online have exploded through the use of social media, question-answering and community discussion forums, health-related websites, and biomedical articles. These present additional challenges and opportunities for further development of new methodologies and applications.

This workshop aims to provide a unique, interdisciplinary, and high-quality platform to bring together researchers and practitioners in healthcare informatics working with health-related free text, and facilitate close interaction among students, scholars, and industry professionals on health NLP challenges. 

Topics of interest

  • NLP methods: any original methodological research, including but not limited to the following areas: named entity recognition, relation extraction, syntactic parsing, word sense disambiguation, semantic role labeling, topic modeling, discourse analysis, question answering, summarization, simplification, and other topics related to health NLP.

  • NLP software tools: any general or specific NLP tools for health data such as clinical notes, social media, and biomedical literature.

  • NLP applications: uses of NLP for clinical research or operation, examples including pharmacovigilance, clinical decision support, phenotyping, predictive modeling, risk prediction, and social media mining.


Important Dates

  • Deadline for all submissions: Extended to March 15th, 2023

  • Deadline for ICHI fast-track submission: March 27, 2023

  • Notification of decisions:  March 29th, 2023

  • Notification of ICHI fast-track submission: March 31, 2023 

  • Deadline for camera-ready papers:  April 5th, 2023

  • Workshop date: June 26th, 2023

important dates

Call for Submissions


HealthNLP will accept both regular papers (4-8 pages, including references) and abstracts (2 pages, including references). Regular papers will describe mature ideas, where a substantial amount of implementation, experimentation, or data collection and analysis has been completed. Abstracts will describe innovative ideas, where preliminary implementation and validation work have been conducted.

Submissions will be handled electronically through EasyChair.  When submitting papers, the authors must select the "HealthNLP Workshop" track. Papers must adhere to the IEEE Proceedings Format and be submitted as a single PDF file. Before a submission is sent to the reviewers, the program chairs will perform an assessment to determine the best fit for the submission.

HealthNLP uses a single-blind two-layer peer reviewing process. The final decision will be made by the program chairs based on at least two reviews by program committee members. All accepted submissions will be presented at the workshop and published in the IEEE ICHI 2023 Proceedings (archived in IEEE Xplore Digital Library).







  • Yifan Peng, Weill Cornell Medicine, US

  • Halil Kilicoglu, University of Illinois at Urbana-Champaign, US

Publication Chair

  • Qingyu Chen, National Library of Medicine, National Institutes of Health, US

Steering committee

  • Sophia Ananiadou, University of Manchester, UK

  • Wendy Chapman, University of Melbourne. AU

  • Dina Demner-Fushman, National Library of Medicine/National Institutes of Health, US

  • Hongfang Liu, Mayo Clinic, US

  • Zhiyong Lu, National Library of Medicine/National Institutes of Health, US

  • Buzhou Tang, Harbin Institute of Technology, CN

  • Özlem Uzuner, George Mason University, US

  • ​Karin Verspoor, RMIT University, AU

  • Hua Xu, University of Texas Health Science Center at Houston, US

Program Committee​

  • Aokun Chen, University of Florida, US

  • Murthy Devarakonda, Novartis, US

  • Carsten Eickhoff, Brown University, US

  • Yadan Fan, Nuance, US

  • Udo Hahn, Friedrich Schiller University Jena, Germany

  • Zhengxing Huang, Zhejiang University, China

  • Lynette Hirschman, MITRE, US

  • Chun-Nan Hsu, University of California San Diego, US

  • Qiao Jin, National Library of Medicine, National Institutes of Health, US

  • Yoshinobu Kano, Shizuoka University, Japan

  • Rohit Kate, University of Wisconsin-Milwaukee, US

  • Dimitrios Kokkinakis, University of Gothenburg, Germany

  • Alberto Lavelli, Fondazione Bruno Kessler, Italy

  • Ling Luo, Dalian University of Technology, China

  • Cheng Peng, University of Florida, US

  • Jianlin Shi, University of Utah, US

  • Manabu Torii, Kaiser Permanente, US

  • Stephen Wu, UTHealth, US

  • Yonghui Wu, University of Florida, US

  • Qingqing Zhu, National Library of Medicine, National Institutes of Health, US



Please contact if you have any questions.

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