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Citing this Article

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Published on 03.11.15 in Vol 17, No 11 (2015): November

This paper is in the following e-collection/theme issue:

Works citing "Analysis of Documentation Speed Using Web-Based Medical Speech Recognition Technology: Randomized Controlled Trial"

Markus Vogel, Wolfgang Kaisers, Ralf Wassmuth, Ertan Mayatepek

J Med Internet Res 2015 (Nov 03); 17(11):e247 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5072):

(note that this is only a small subset of citations)

  1. Hodgson T, Magrabi F, Coiera E. Evaluating the usability of speech recognition to create clinical documentation using a commercial electronic health record. International Journal of Medical Informatics 2018;113:38
    CrossRef
  2. Blackley SV, Huynh J, Wang L, Korach Z, Zhou L. Speech recognition for clinical documentation from 1990 to 2018: a systematic review. Journal of the American Medical Informatics Association 2019;26(4):324
    CrossRef
  3. Palo S, Kripalini P, Sanghamitra P. Situation of labour room documentation at secondary level public health facilities of Cuttack district, Odisha, India – A SWOT analysis. Journal of Family Medicine and Primary Care 2020;9(7):3308
    CrossRef
  4. Blackley SV, Schubert VD, Goss FR, Al Assad W, Garabedian PM, Zhou L. Physician use of speech recognition versus typing in clinical documentation: A controlled observational study. International Journal of Medical Informatics 2020;141:104178
    CrossRef
  5. Wiebe N, Otero Varela L, Niven DJ, Ronksley PE, Iragorri N, Quan H. Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review. Journal of the American Medical Informatics Association 2019;26(11):1389
    CrossRef
  6. Kehe K, Girgensohn R, Swoboda W, Bieler D, Franke A, Helm M, Kulla M, Luepke K, Morwinsky T, Blätzinger M, Rossmann K. Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13516
    CrossRef
  7. Latif S, Qadir J, Qayyum A, Usama M, Younis S. Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art. IEEE Reviews in Biomedical Engineering 2021;14:342
    CrossRef
  8. Shimazui T, Nakada T, Kuroiwa S, Toyama Y, Oda S. Speech recognition shortens the recording time of prehospital medical documentation. The American Journal of Emergency Medicine 2021;49:414
    CrossRef
  9. Zuchowski M, Göller A. Speech recognition for medical documentation: an analysis of time, cost efficiency and acceptance in a clinical setting. British Journal of Healthcare Management 2022;28(1):30
    CrossRef
  10. Avendano JP, Gallagher DO, Hawes JD, Boyle J, Glasser L, Aryee J, Katt BM. Interfacing With the Electronic Health Record (EHR): A Comparative Review of Modes of Documentation. Cureus 2022;
    CrossRef
  11. Spolaôr N, Lee HD, Takaki WSR, Ensina LA, Parmezan ARS, Oliva JT, Coy CSR, Wu FC. A video indexing and retrieval computational prototype based on transcribed speech. Multimedia Tools and Applications 2021;80(25):33971
    CrossRef
  12. Yokota Y, Iwatsubo T, Takeuchi T, Hakoda A, Nakagawa Y, Kawabata K, Inoue Y, Miyamoto H, Ikeo K, Kojima Y, Miyazaki J, Abe T, Higuchi K. Effects of a novel endoscopic reporting system with voice recognition on the endoscopic procedure time and report preparation time: propensity score matching analysis. Journal of Gastroenterology 2022;57(1):1
    CrossRef
  13. Woo M, Mishra P, Lin J, Kar S, Deas N, Linduff C, Niu S, Yang Y, McClendon J, Smith DH, Shelton SL, Gainey CE, Gerard WC, Smith MC, Griffin SF, Gimbel RW, Wang K. Complete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach: Experimental Study. JMIR mHealth and uHealth 2021;9(10):e32301
    CrossRef
  14. Carboni C, Wehrens R, van der Veen R, de Bont A. Conceptualizing the digitalization of healthcare work: A metaphor-based Critical Interpretive Synthesis. Social Science & Medicine 2022;292:114572
    CrossRef
  15. Kreuzthaler M, Brochhausen M, Zayas C, Blobel B, Schulz S. Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems. Frontiers in Medicine 2023;10
    CrossRef
  16. . Application of sensor-based sound control principle in speech recognition technology. International Journal of System Assurance Engineering and Management 2023;
    CrossRef
  17. . Speech recognition and English corpus vocabulary learning based on endpoint detection algorithm. International Journal of System Assurance Engineering and Management 2023;
    CrossRef
  18. Kudryavtsev ND, Bardasova KA, Khoruzhaya AN. Speech recognition technology in radiology. Digital Diagnostics 2023;4(2):185
    CrossRef
  19. Dinari F, Bahaadinbeigy K, Bassiri S, Mashouf E, Bastaminejad S, Moulaei K. Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross‐sectional study. Health Science Reports 2023;6(6)
    CrossRef
  20. Olatunji T, Afonja T, Yadavalli A, Emezue CC, Singh S, Dossou BFP, Osuchukwu J, Osei S, Tonja AL, Etori N, Mbataku C. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR. Transactions of the Association for Computational Linguistics 2023;11:1669
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5072):

  1. . Digitale Transformation von Dienstleistungen im Gesundheitswesen II. 2017. Chapter 20:319
    CrossRef
  2. Guerrero A, Barnes DK, Pattison HM. The Modern Hospital. 2019. Chapter 21:213
    CrossRef
  3. . Chronic Illness Care. 2018. Chapter 16:199
    CrossRef
  4. Kröll M, Burova-Keßler K. Advances in Human Factors in Training, Education, and Learning Sciences. 2021. Chapter 5:36
    CrossRef