International Journal of Biomedical Science and Engineering

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The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran

Received: 10 November 2013    Accepted: 22 August 2014    Published: 30 August 2014
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Abstract

Speech recognition system (SR) is a tool to create comprehensive, accurate and legible information in the patient's medical records. The present study is a part of a project to create a specialty text database for SR software in the field of reconstructive hand surgery. This project is considered a fundamental work for practical application of the system to enter the healthcare field in Iran. An interventional, quasi-experimental study and fundamental work to create surgical text database in the existing Persian software of "Nevisa". 1863 reconstructive hand surgical descriptions during a 3-month period (March 20, 2012 through June 20, 2012) in 15-Khordad Subspecialty Hospital were used to create database. The statistical population of the study consisted of all patients admitted with hand disorders within this time interval. About 108 dictated voices of physicians were collected after surgery. After the type and required analysis, the reconstructive hand surgery text database was created and tested in a real operating room. In this paper, a reconstructive hand surgery text database was created for Persian SR software. The database contains capital vocabulary and more than1200 words for use in the hand surgical unit in specialty hospitals and clinics. The record of findings and results of surgery in the patients’ medical records is very important. The lack of computerized data recording is one of the reasons for failure and illegibility of medical records in health centers. To solve these problems, software was used for data entry in the medical records and creating comprehensive electronic records. The designed software was tested in the operating room. The obtained accuracy demonstrated the potential for practical applicability of the developed software in Iran.

DOI 10.11648/j.ijbse.20140203.11
Published in International Journal of Biomedical Science and Engineering (Volume 2, Issue 3, June 2014)
Page(s) 17-22
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Speech Recognition Software, Reconstructive Hand Surgery, Database

References
[1] Fournier LC, “Towards a natural spoken language order-entry system for the ICU: developing a language model from handwritten physician orders,” Portland: Oregon Health & Science University; 2001. (dissertation)
[2] Safari M, “Automatic Speech Recognition,” Iran: Islamic Azad University Lahijan; 2007. (dissertation)
[3] Ashrie j, “Design and manufacturing of critical control systems using voice,” Iran: Science and Technology Tehran; 1998. (dissertation)
[4] Saeedi M, “voice recognition,” Shabakeh Magazine [Internet]. 2003 Dec [cited 2003 Dec];1(38):59-5. Available from: http:// shabakeh-mag.com/article.aspx?id=1000206.
[5] Babaali B, “Pruning techniques to improve the performance of a Continuous Speech Recognition system based on hidden Markov models and their application,” Iran: Sharif University of Technology; 2003. (dissertation)
[6] Aziz Khani Z, Naghshine N, “Overview of the speech recognition system and its application,” Irandoc Scientific Communication monthly Journal [Internet]. 2007 May 25 [cited 2007 Jun 25];7(1):64-9. Available from: http://ejournal.irandoc.ac.ir/browse.php?a_code=A-10-2-99&slc_lang=fa&sid=1.
[7] Zafar A, Mamlin B, Perkins S, Belsito AM, Overhage JM, McDonald CJ, “A simple error classification system for understanding sources of error in automatic speech recognition and human transcription,” Int J Med Inform. 2004;73(9-10):719-30. Epub 2004/08/25.
[8] Sharifian R, Ghazisaeedi M, “Evaluation of the data sheets for specific surgical patients discharged from hospitals in Tehran University of Medical Sciences in 2005,” Payavard Salamat. 2008;2(1-2):31-9. Persian.
[9] Edgerton M, “The Art of Surgical Technique,” 1nd ed. Tehran: Institute publications puiandeghane teb; 2002. Persian.
[10] Safdari R, Meidani Z, “Health services accreditation standards for information management in Canada, New Zealand and USA: a comparative study,” The Journal of Qazvin University of Medical Sciences. 2007;11(1):73-6. Persian.
[11] Sheikhtaiefe M, “A comparative study of speech recognition systems Clinical data documenting the process in selected countries in 2010,” Iran: Tehran University of Medical Sciences; 2010. (dissertation)
[12] Fatemi M, Elmirad J, Rajabi F, “Distribution of Hand Injuries from a Referral Teaching Hospital,” Iranian Journal of Orthopaedic Surgery. 2008 Autumn;6(4-A):191-6. Persian.
[13] Hassanpour E, Loghmani S, Attariyan S, Fadaee A, “Evaluation of accuracy of preoperative examination of flexor tendons in zone 4 and 5 of hand injuries,” Journal of Birjand University of Medical Sciences. 2009;16(3):16-6. Persian.
[14] Groc B, Tuffelli D, “A continuous speech recognition system for data base consultation in Acoustics. Acoustics, Speech, and Signal Processing,” IEEE International Conference on ICASSP '80; 1980 Apr 9-11; New York: IEEE;1980.( Conference)
[15] Kanal KM, Hangiandreou NJ, Sykes AM, Eklund HE, Araoz PA, Leon JA, et al, “Initial evaluation of a continuous speech recognition program for radiology,” J Digit Imaging. 2001;14(1):30-7. Epub 2001/04/20.
[16] Houston JD, Rupp FW, “Experience with implementation of a radiology speech recognition system,” J Digit Imaging. 2000;13(3):124-8. Epub 2004/09/14.
[17] Alapetite A, “On speech recognition during anesthesia,” Denmark: Department of Communication, Business and Informations Technologies Roskilde; 2007. (dissertation)
[18] Molnar B, Gergely J, Toth G, Pronai L, Zagoni T, Papik K, et al, “Development of a speech-based dialogue system for report dictation and machine control in the endoscopic laboratory,” Endoscopy. 2000;32(1):58-61. Epub 2000/02/26.
[19] O'Hara SP, Bryant TN, Oji EC, Rowe DJ, “Speech recognition and the clinical microbiology laboratory,” Med Lab Sci. 1992;49(1):20-6. Epub 1992/03/01.
[20] Langer SG, “Impact of speech recognition on radiologist productivity,” J Digit Imaging. 2002;15(4):203-9. Epub 2002/11/05.
[21] White KS, “Speech recognition implementation in radiology,” Pediatr Radiol. 2005;35(9):841-6. Epub 2005/05/19.
[22] Hayt DB, Alexander S, “The pros and cons of implementing PACS and speech recognition systems,” J Digit Imaging. 2001;14(3):149-57. Epub 2001/11/27.
[23] Bunschoten B, “What role will speech recognition play in health care?,” Health Data Manag. 1996 Jan;4(1):38–6.
[24] Hoyt R, Yoshihashi A, “Lessons learned from implementation of voice recognition for documentation in the military electronic health record system,” Perspect Health Inf Manag. 2010;7:1e. Epub 2010/08/11.
Author Information
  • Faculty Member, Health Information Management, School of Allied medicine, Tehran University of Medical Sciences, Tehran, Iran

  • Health Information Management, School of Allied medicine, Tehran University of Medical Sciences, Tehran, Iran

  • Professor of Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

  • Faculty Member, Health Information Management, School of Allied medicine, Tehran University of Medical Sciences, Tehran, Iran

  • Health Information Technology, School of Allied Health Sciences, Tehran University of Medical Sciences, Tehran, Iran

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  • APA Style

    Marjan Ghazisaeedi, Reza Safdari, Abdoljalil Kalantarhormozi, Leila Shahmoradi, Fateme Sadeghi. (2014). The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran. International Journal of Biomedical Science and Engineering, 2(3), 17-22. https://doi.org/10.11648/j.ijbse.20140203.11

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    ACS Style

    Marjan Ghazisaeedi; Reza Safdari; Abdoljalil Kalantarhormozi; Leila Shahmoradi; Fateme Sadeghi. The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran. Int. J. Biomed. Sci. Eng. 2014, 2(3), 17-22. doi: 10.11648/j.ijbse.20140203.11

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    AMA Style

    Marjan Ghazisaeedi, Reza Safdari, Abdoljalil Kalantarhormozi, Leila Shahmoradi, Fateme Sadeghi. The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran. Int J Biomed Sci Eng. 2014;2(3):17-22. doi: 10.11648/j.ijbse.20140203.11

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  • @article{10.11648/j.ijbse.20140203.11,
      author = {Marjan Ghazisaeedi and Reza Safdari and Abdoljalil Kalantarhormozi and Leila Shahmoradi and Fateme Sadeghi},
      title = {The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran},
      journal = {International Journal of Biomedical Science and Engineering},
      volume = {2},
      number = {3},
      pages = {17-22},
      doi = {10.11648/j.ijbse.20140203.11},
      url = {https://doi.org/10.11648/j.ijbse.20140203.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijbse.20140203.11},
      abstract = {Speech recognition system (SR) is a tool to create comprehensive, accurate and legible information in the patient's medical records. The present study is a part of a project to create a specialty text database for SR software in the field of reconstructive hand surgery. This project is considered a fundamental work for practical application of the system to enter the healthcare field in Iran. An interventional, quasi-experimental study and fundamental work to create surgical text database in the existing Persian software of "Nevisa". 1863 reconstructive hand surgical descriptions during a 3-month period (March 20, 2012 through June 20, 2012) in 15-Khordad Subspecialty Hospital were used to create database. The statistical population of the study consisted of all patients admitted with hand disorders within this time interval. About 108 dictated voices of physicians were collected after surgery. After the type and required analysis, the reconstructive hand surgery text database was created and tested in a real operating room. In this paper, a reconstructive hand surgery text database was created for Persian SR software. The database contains capital vocabulary and more than1200 words for use in the hand surgical unit in specialty hospitals and clinics. The record of findings and results of surgery in the patients’ medical records is very important. The lack of computerized data recording is one of the reasons for failure and illegibility of medical records in health centers. To solve these problems, software was used for data entry in the medical records and creating comprehensive electronic records. The designed software was tested in the operating room. The obtained accuracy demonstrated the potential for practical applicability of the developed software in Iran.},
     year = {2014}
    }
    

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    T1  - The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran
    AU  - Marjan Ghazisaeedi
    AU  - Reza Safdari
    AU  - Abdoljalil Kalantarhormozi
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    PB  - Science Publishing Group
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    AB  - Speech recognition system (SR) is a tool to create comprehensive, accurate and legible information in the patient's medical records. The present study is a part of a project to create a specialty text database for SR software in the field of reconstructive hand surgery. This project is considered a fundamental work for practical application of the system to enter the healthcare field in Iran. An interventional, quasi-experimental study and fundamental work to create surgical text database in the existing Persian software of "Nevisa". 1863 reconstructive hand surgical descriptions during a 3-month period (March 20, 2012 through June 20, 2012) in 15-Khordad Subspecialty Hospital were used to create database. The statistical population of the study consisted of all patients admitted with hand disorders within this time interval. About 108 dictated voices of physicians were collected after surgery. After the type and required analysis, the reconstructive hand surgery text database was created and tested in a real operating room. In this paper, a reconstructive hand surgery text database was created for Persian SR software. The database contains capital vocabulary and more than1200 words for use in the hand surgical unit in specialty hospitals and clinics. The record of findings and results of surgery in the patients’ medical records is very important. The lack of computerized data recording is one of the reasons for failure and illegibility of medical records in health centers. To solve these problems, software was used for data entry in the medical records and creating comprehensive electronic records. The designed software was tested in the operating room. The obtained accuracy demonstrated the potential for practical applicability of the developed software in Iran.
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