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1 DOI: /transinfj.2015JDP7 早期公開日 :2015/11/18 本 PDF は, 早期公開版である. 本論文を引用する場合には, 電子情報通信学会和文論文誌投稿のしおり ( 情報 システムソサイエティ ) の 8. 早期公開 を参照すること.
2 a) A Medical Record Creation Support System using a Voice Memo Recorded by a Mobile Device Hiromitsu NISHIZAKI a), Keisuke KURUMIZAWA, Kanae NISHIZAKI, and Hitoshi IKEGAMI 1. [1] [2] % 21.7% Graduate School of Interdisciplinary Research, Faculty of Engineering, University of Yamanashi, Takeda , Kofu-shi, Yamanashi, Japan Department of Education, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi Kugawa Hospital for Orthopaedic Surgery, Shinden-cho 10 26, Kofu-shi, Yamanashi Japan a) hnishi@yamanashi.ac.jp 3 [3] 3 [4] D Vol. Jxx D No. xx pp. 1 9 c xxxx 1
3 xxxx/xx Vol. Jxx D No. xx [5] Physical Therapist PT 2 1 PT 2 PT 2 AmiVoice R Ex7 Clinic / HospitalClient 1 amazingcharts.com Amazing Charts 2 Klann [6] PT Neuance Dragon Medical 360 Mobile Recorder 3 AmiVoice R Smart 4 PT mobile-recorder/ 4 2
4 1 [7] [7] PT PT PT [5] PT 3
5 xxxx/xx Vol. Jxx D No. xx Fig. 1 1 A workflow of a medical record creation. PT PT PT PT Apple ipod touch (ios) PT PT 2 Fig. 2 An application for voice memo recording. (Staff s and patient s names are dummy.) [7] [8] 3. 2 [9] [10] (Confusion Network Combination, CNC) [11] [12] [13] [15] CNC 2 Julius [16] 2 ( ) CNC 2 4
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6 3 Fig. 3 An editor for creating a medical record. 4 GUI Fig. 4 Graphical user interface for editing. (CN) 5 2 CN CN 1 CN 3. 3 [11] Pod- Casle [17] Liang [18] CN 3 2 CNC CN 6-best 4 Graphical User Interface, GUI best words CNC CN (1-best) correction candidates CN 6 (6-best) / Del Temp Del best word Temp 3. 4 Julius %
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7 xxxx/xx Vol. Jxx D No. xx PT 5 GUI N-gram N-gram 6 N-gram [19] 7 Corpus of Spontaneous Japanese, CSJ [20] Palmkit [21] 8 N-gram Fig. 5 The interface for adding words and fixed phrases for adapting a language model and a speech recognition dictionary. 6 Fig. 6 An example of fixed phrase where words are replaced by the class PT
8 Apple 5 ipod touch CNC 2 Julius Ver CSJ 3, triphone (Hidden Markov Model, HMM) 1 Julius triphone #5 2 PT #5 90% 85% 90% 3 85% 37 Novice Expert ratio Method (NEM) [22] ( [23]) NE / NE 4.5 NE GUI GUI #10 # # #
9 xxxx/xx Vol. Jxx D No. xx 1 PT ([M SS ]) ([%]) Table 1 Record creation execution times ([M SS ] and ASR performance[%]) for PTs. #1 #2 #3 #4 #5 #6 #7 #8 #9 Ave ( ) Table 2 Questionnaire results (average for all the subjects). (1) 3.4 (2) 3.7 (3) 3.6 (4) ([M SS ]) Table 3 Change of medical record creation times caused by habituation of the system ([M SS ]) # # # PT 5. CNC JSPS (B) [1] 03/h html July 1, 2015 [2] JAHIS data\_list/data0204/ July 1, 2015 [3] R. Koppel, J.P. Metlay, A. Cohen, B. Abaluck, A.R. Localio, S.E. Kimmel, and B.L. Strom., Role of computerized physician order entry systems in facilitating eedication errors., Journal of the American Medical Association, vol.293, no.10, pp , Oct [4] (D) vol.j93-d no.10 pp Oct [5], SIG-SLUD-B pp Sept [6] J.G. Klann and P. Szolovits, An intelligent listening framework for capturing encounter notes from a doctor-atient dialog, BMC Medical Information and 8
![Decision Making 2009, vol.9 (Suppl. 1), 10 pages, 2009. [7] K. Kurumizawa, H. Nishizaki, K. Nishizaki, and H.](/docs-images/99/143119234/images/10-0.jpg "Ikegami, Input support system for medical records created using a voice memo recorded by a mobile device, International Journal of Signal Processing Systems, vol.3, no.2, pp.128 133, Dec. 2015.")
![[8] 73 3ZF-1 pp.729 730 March 2011 [9] 2011, 3-P-11 pp.169 170 Sept. 2011 [10] L. Mangu, E. Brill, and A.](/docs-images/99/143119234/images/10-1.jpg "Stolcke, Finding consensus in speech recognition: word error minimization and other applications of confusion network, Computer Speech and Language, vol.14, no.4, pp.373 400, Oct. 2000. [11] S.")
![Ishimaru, H. Nishizaki, and Y. Sekiguchi, Effect of confusion network combination on speech recognition system for editing, Proc. of APSIPA ASC 2011, 4 pages, Oct. 2011. [12] CRF 2012, 3-P-10 pp.](/docs-images/99/143119234/images/10-2.jpg "141 142 Sept. 2012 [13] J.G. Fiscus, A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER), Proc. of ASRU 1997, pp.347 352, Dec. 1997. [14] G.")
![Evermann and P. Woodland, Posterior probability decoding, confidence estimation and system combination, Proc. of the NIST Speech Transcription Workshop, pp.55 56, 2000. [15] T. Utsuro, Y. Kodama, T.](/docs-images/99/143119234/images/10-3.jpg "Watanabe, H. Nishizaki, and S. Nakagawa, An Empirical Study on Multiple LVCSR Model Combination by Machine Learning, Proc. of HLT/NAACL 2004, pp.13 16, May 2004. [16] Julius vol.11 no.1 pp.31 38 Jan.")
10 Decision Making 2009, vol.9 (Suppl. 1), 10 pages, [7] K. Kurumizawa, H. Nishizaki, K. Nishizaki, and H. Ikegami, Input support system for medical records created using a voice memo recorded by a mobile device, International Journal of Signal Processing Systems, vol.3, no.2, pp , Dec [8] 73 3ZF-1 pp March 2011 [9] 2011, 3-P-11 pp Sept [10] L. Mangu, E. Brill, and A. Stolcke, Finding consensus in speech recognition: word error minimization and other applications of confusion network, Computer Speech and Language, vol.14, no.4, pp , Oct [11] S. Ishimaru, H. Nishizaki, and Y. Sekiguchi, Effect of confusion network combination on speech recognition system for editing, Proc. of APSIPA ASC 2011, 4 pages, Oct [12] CRF 2012, 3-P-10 pp Sept [13] J.G. Fiscus, A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER), Proc. of ASRU 1997, pp , Dec [14] G. Evermann and P. Woodland, Posterior probability decoding, confidence estimation and system combination, Proc. of the NIST Speech Transcription Workshop, pp.55 56, [15] T. Utsuro, Y. Kodama, T. Watanabe, H. Nishizaki, and S. Nakagawa, An Empirical Study on Multiple LVCSR Model Combination by Machine Learning, Proc. of HLT/NAACL 2004, pp.13 16, May [16] Julius vol.11 no.1 pp Jan [17] M. Goto, J. Ogata, and K. Eto, Podcastle: A web 2.0 approach to speech recognition research, Proc. of INTERSPEECH 2007, pp , Sept [18] Y. Liang, K. Iwano, and K. Shinoda, An efficient error correction interface for speech recognition on mobile touchscreen devices, Proc. of SLT 2014, pp , Dec [19] vol.41 no.11 pp Nov [20] K. Maekawa, Corpus of Spontaneous Japanese: Its design and evaluation, Proc. of SSRP 2003, pp.7 12, April [21] n-gram, 2000-SLP , pp , Dec [22] H. Urokohara, K. Tanaka, K. Furuta, M. Honda, and M. Kurosu, NEM: Novice Expert ratio Method a usability evaluation method to generate a new performance measure, CHI 00 Extended Abstracts on Human Factors in Computing Systems, pp , Jan [23],, vol.8, no.2, pp , Nov xx xx xx IEEE A AOS New Educational Program Fellow 9
11 Abstract This paper introduces a medical record creation support system used in the department of rehabilitation of the hospital. The developed system enables a physical therapist (PT) to make a medical record using the transcription generated by speech-recognizing his/her voice memo recorded using a mobile device when he/she completed a medical treatment of a patient. There are mainly two characteristics of the system. One is that the system has a function of automatic error correction for speech recognition errors and provides a user-interface for editing the transcription of voice memo while a user manually correct the errors. The other is that the system has a user-interface that a PT can register new (medical or another topic) words to a speech recognition dictionary for high-accurate speech recognition. The interface can also re-train a language model for speech recognition using fixed phrases that often appears on a medical record. In the subjective experiment, the system did not significantly improve the work efficiency for medical record creation compared with the traditional medical recording method (hand-writing to a paper). However, it also suggested that the work efficiency is likely to get better when a user gets used to operating the system. Key words memo. automatic speech recognition, error correction, medical record creation, mobile device, voice
* a) A Medical Record Creation Support System Using a Voice Memo Recorded by a Mobile Device Hiromitsu NISHIZAKI a), Keisuke KURUMIZAWA, Kanae NISHIZA
* a) A Medical Record Creation Support System Using a Voice Memo Recorded by a Mobile Device Hiromitsu NISHIZAKI a), Keisuke KURUMIZAWA, Kanae NISHIZAKI, and Hitoshi IKEGAMI 1. [1] [2] 2013 32.4% 21.7%
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