Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients

Autor: Jung, HyoJe, Kim, Yunha, Choi, Heejung, Seo, Hyeram, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Ko, Soyoung, Kim, Byeolhee, Kim, Suyeon, Jun, Tae Joon, Kim, Young-Hak

Medical documentation, including discharge notes, is crucial for ensuring patient care quality, continuity, and effective medical communication. However, the manual creation of these documents is not only time-consuming but also prone to inconsistenc

Externí odkaz: http://arxiv.org/abs/2404.05144

LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis

Autor: Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Han, JiYe, Kee, Gaeun, Park, Seohyun, Lee, Kye Hwa, Jun, Tae Joon, Kim, Young-Hak

Publikováno v: In Computers in Biology and Medicine January 2024 168

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Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data.

Autor: Seo, Hyeram¹ (AUTHOR), Ahn, Imjin² (AUTHOR), Gwon, Hansle² (AUTHOR), Kang, Hee Jun² (AUTHOR), Kim, Yunha² (AUTHOR), Cho, Ha Na² (AUTHOR), Choi, Heejung¹ (AUTHOR), Kim, Minkyoung¹ (AUTHOR), Han, Jiye¹ (AUTHOR), Kee, Gaeun² (AUTHOR), Park, Seohyun² (AUTHOR), Seo, Dong-Woo³ (AUTHOR), Jun, Tae Joon⁴ (AUTHOR) taejoon@amc.seoul.kr, Kim, Young-Hak² (AUTHOR) mdyhkim@amc.seoul.kr

Publikováno v: Health Care Management Science. Mar2024, Vol. 27 Issue 1, p114-129. 16p.

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