AscleAI: A LLM-based Clinical Note Management System for Enhancing Clinician Productivity-Reference-Cited by-同舟云学术

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AscleAI: A LLM-based Clinical Note Management System for Enhancing Clinician Productivity

Published:2024-05-11 Issue: Volume:42 Page:1-7
ISSN:
Container-title:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Han Jiyeon¹^ORCID,Park Jimin²^ORCID,Huh Jinyoung¹^ORCID,Oh Uran¹^ORCID,Do Jaeyoung³^ORCID,Kim Daehee⁴^ORCID

Affiliation:

1. Computer Science and Engineering, Ewha Womans University, Korea, Republic of

2. Ewha Womans University, Korea, Republic of

3. Department of Electrical and Computer Engineering, Seoul National University, Korea, Republic of

4. ATTO-Research, Korea, Republic of

Funder

Institute of Information & communications Technology Planning & Evaluation

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613905.3650784

Reference36 articles.

1. Chiwon Ahn. 2023. Exploring ChatGPT for information of cardiopulmonary resuscitation. Resuscitation 185 (2023).

2. Using ChatGPT to write patient clinic letters

3. Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations

4. The role of electronic medical records in improving the quality of health care services: Comparative study

5. Electronic medical record customization and the impact upon chart completion rates;Bennett J;Fam Med,2010

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