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

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

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

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

Journals

  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 View
  2. Blackley S, 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 View
  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 View
  4. Blackley S, Schubert V, Goss F, Al Assad W, Garabedian P, Zhou L. Physician use of speech recognition versus typing in clinical documentation: A controlled observational study. International Journal of Medical Informatics 2020;141:104178 View
  5. Wiebe N, Otero Varela L, Niven D, Ronksley P, 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 View
  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 View
  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 View
  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 View
  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 View
  10. Avendano J, Gallagher D, Hawes J, Boyle J, Glasser L, Aryee J, Katt B. Interfacing With the Electronic Health Record (EHR): A Comparative Review of Modes of Documentation. Cureus 2022 View
  11. Spolaôr N, Lee H, Takaki W, Ensina L, Parmezan A, Oliva J, Coy C, Wu F. A video indexing and retrieval computational prototype based on transcribed speech. Multimedia Tools and Applications 2021;80(25):33971 View
  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 View
  13. Woo M, Mishra P, Lin J, Kar S, Deas N, Linduff C, Niu S, Yang Y, McClendon J, Smith D, Shelton S, Gainey C, Gerard W, Smith M, Griffin S, Gimbel R, 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 View
  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 View
  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 View
  16. Xuejun W. Application of sensor-based sound control principle in speech recognition technology. International Journal of System Assurance Engineering and Management 2023 View
  17. Junli C. Speech recognition and English corpus vocabulary learning based on endpoint detection algorithm. International Journal of System Assurance Engineering and Management 2023 View
  18. Kudryavtsev N, Bardasova K, Khoruzhaya A. Speech recognition technology in radiology. Digital Diagnostics 2023;4(2):185 View
  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) View
  20. Olatunji T, Afonja T, Yadavalli A, Emezue C, Singh S, Dossou B, Osuchukwu J, Osei S, Tonja A, 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 View

Books/Policy Documents

  1. Vogel M. Digitale Transformation von Dienstleistungen im Gesundheitswesen II. View
  2. Guerrero A, Barnes D, Pattison H. The Modern Hospital. View
  3. Shungu N. Chronic Illness Care. View
  4. Kröll M, Burova-Keßler K. Advances in Human Factors in Training, Education, and Learning Sciences. View