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Paper Abstract and Keywords
Presentation 2026-03-03 16:20
Overall Assessment of Medical Interviews Using Large Language Models
Kenta Moriyama (Nagasaki Univ.), Toyama Shuhei, Murai Koichi (Systec Inoue Corporation), Kawashiri Shin-ya, Hirotomo Yamanashi (Nagasaki Univ.), Kobayashi Toru (Komazawa Univ.), Imai Tetsuo (Nagasaki Univ.) LOIS2025-76
Abstract (in Japanese) (See Japanese page) 
(in English) Medical interview education widely employs training with simulated patients; however,
assigning overall performance scores places a substantial burden on faculty and is
affected by considerable inter-rater variability.
This study investigates an LLM-based automatic evaluation method that estimates
12-point global ratings assigned by faculty directly from full conversation logs
between medical students and simulated patient avatars.
To provide evidence required for global assessment in a stepwise manner,
achievement information derived from an OSCE-referenced question item list (39 items)
and utterance-level annotations based on the Roter Interaction Analysis System (RIAS)
were incorporated into the conversation input, and their effects were compared.
In addition, we evaluated different learning problem settings, including estimation of
single-rater scores, estimation of averaged multi-rater scores, and simultaneous
estimation of multiple rater scores.
Cross-validation experiments using 71 RIAS-annotated interview logs from three cases
demonstrated that the joint incorporation of question item achievement information
and RIAS tags with simultaneous multi-rater learning achieved the best performance,
yielding a tolerance-based accuracy of 84.5% and a mean absolute error of 0.887.
These results indicate that, even under conditions of substantial inter-rater
variability (inter-rater agreement of 39.4%), practical estimation of global
interview performance is feasible through the integration of structured intermediate
evaluation information and appropriate learning problem design.
Keyword (in Japanese) (See Japanese page) 
(in English) medical interview / global rating prediction / large language model / RIAS / OSCE / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 375, LOIS2025-76, pp. 162-167, March 2026.
Paper # LOIS2025-76 
Date of Issue 2026-02-23 (LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2025-76

Conference Information
Committee LOIS  
Conference Date 2026-03-02 - 2026-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2026-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Overall Assessment of Medical Interviews Using Large Language Models 
Sub Title (in English)  
Keyword(1) medical interview  
Keyword(2) global rating prediction  
Keyword(3) large language model  
Keyword(4) RIAS  
Keyword(5) OSCE  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kenta Moriyama  
1st Author's Affiliation Nagasaki University (Nagasaki Univ.)
2nd Author's Name Toyama Shuhei  
2nd Author's Affiliation Systec Inoue Corporation (Systec Inoue Corporation)
3rd Author's Name Murai Koichi  
3rd Author's Affiliation Systec Inoue Corporation (Systec Inoue Corporation)
4th Author's Name Kawashiri Shin-ya  
4th Author's Affiliation Nagasaki University (Nagasaki Univ.)
5th Author's Name Hirotomo Yamanashi  
5th Author's Affiliation Nagasaki University (Nagasaki Univ.)
6th Author's Name Kobayashi Toru  
6th Author's Affiliation Komazawa University (Komazawa Univ.)
7th Author's Name Imai Tetsuo  
7th Author's Affiliation Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2026-03-03 16:20:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2025-76 
Volume (vol) vol.125 
Number (no) no.375 
Page pp.162-167 
#Pages 6 
Date of Issue 2026-02-23 (LOIS) 

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