Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 28.10.16 in Vol 4, No 4 (2016): Oct-Dec

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

Works citing "Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study"

David R. Kaufman, Barbara Sheehan, Peter Stetson, Ashish R. Bhatt, Adele I. Field, Chirag Patel, James Mark Maisel

JMIR Med Inform 2016 (Oct 28); 4(4):e35 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.5544):

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

  1. Matulis JC, North F. What Can Apologies in the Electronic Health Record Tell Us About Health Care Quality, Processes, and Safety?. Journal of Patient Safety 2020;16(3):e187
    CrossRef
  2. . Challenges for learning health systems in the NHS. Case study: electronic health records in cardiology. Future Healthcare Journal 2017;4(3):193
    CrossRef
  3. Payne TH, Alonso WD, Markiel JA, Lybarger K, Lordon R, Yetisgen M, Zech JM, White AA. Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction. JAMIA Open 2018;1(2):218
    CrossRef
  4. Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, Osborn D, Hayes J, Stewart R, Downs J, Chapman W, Dutta R. Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. Journal of Biomedical Informatics 2018;88:11
    CrossRef
  5. Grön L, Bertels A. Clinical sublanguages. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 2018;24(1):41
    CrossRef
  6. Guetterman TC, Chang T, DeJonckheere M, Basu T, Scruggs E, Vydiswaran VV. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research 2018;20(6):e231
    CrossRef
  7. Payne TH, Alonso WD, Markiel JA, Lybarger K, White AA. Using voice to create hospital progress notes: Description of a mobile application and supporting system integrated with a commercial electronic health record. Journal of Biomedical Informatics 2018;77:91
    CrossRef
  8. Yazdani A, Safdari R, Golkar A, R. Niakan Kalhori S. Words prediction based on N-gram model for free-text entry in electronic health records. Health Information Science and Systems 2019;7(1)
    CrossRef
  9. Lorenzetti DL, Quan H, Lucyk K, Cunningham C, Hennessy D, Jiang J, Beck CA. Strategies for improving physician documentation in the emergency department: a systematic review. BMC Emergency Medicine 2018;18(1)
    CrossRef
  10. . Enhancing Disability Determination Decision Process Through Natural Language Processing. International Journal of Applied Research on Public Health Management 2019;4(2):15
    CrossRef
  11. Hodgson T, Magrabi F, Coiera E. Efficiency and safety of speech recognition for documentation in the electronic health record. Journal of the American Medical Informatics Association 2017;24(6):1127
    CrossRef
  12. Sai Prashanthi G, Deva A, Vadapalli R, Das AV. Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study. JMIR Formative Research 2020;4(12):e24490
    CrossRef
  13. Wang C, Han J, Fang S, Lai Y. Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development and Validation. JMIR mHealth and uHealth 2020;8(12):e16746
    CrossRef
  14. Moy AJ, Schwartz JM, Chen R, Sadri S, Lucas E, Cato KD, Rossetti SC. Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review. Journal of the American Medical Informatics Association 2021;28(5):998
    CrossRef
  15. van Mourik MS, van Rooden SM, Abbas M, Aspevall O, Astagneau P, Bonten MJ, Carrara E, Gomila-Grange A, de Greeff SC, Gubbels S, Harrison W, Humphreys H, Johansson A, Koek MB, Kristensen B, Lepape A, Lucet J, Mookerjee S, Naucler P, Palacios-Baena ZR, Presterl E, Pujol M, Reilly J, Roberts C, Tacconelli E, Teixeira D, Tängdén T, Valik JK, Behnke M, Gastmeier P. PRAISE: providing a roadmap for automated infection surveillance in Europe. Clinical Microbiology and Infection 2021;27:S3
    CrossRef
  16. Sridhar S, Kazi N, Kahanda I, McCrory B. Psychiatry Transcript Annotation: Process Study and Improvements. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2021;10(1):71
    CrossRef
  17. Roth CB, Papassotiropoulos A, Brühl AB, Lang UE, Huber CG. Psychiatry in the Digital Age: A Blessing or a Curse?. International Journal of Environmental Research and Public Health 2021;18(16):8302
    CrossRef
  18. Yang K, Nambudiri VE. Anticipating Ambulatory Automation: Potential Applications of Administrative and Clinical Automation in Outpatient Healthcare Delivery. Applied Clinical Informatics 2021;12(05):1157
    CrossRef
  19. Lossio-Ventura JA, Sun R, Boussard S, Hernandez-Boussard T. Clinical concept recognition: Evaluation of existing systems on EHRs. Frontiers in Artificial Intelligence 2023;5
    CrossRef
  20. Chua IS, Ritchie CS, Bates DW. Enhancing serious illness communication using artificial intelligence. npj Digital Medicine 2022;5(1)
    CrossRef
  21. Prakash V, Piquette D, Amaral ACK. The Artificially Intelligent Teacher: Applying Natural Language Processing to Critical Care Education. ATS Scholar 2022;3(4):505
    CrossRef
  22. Idnay B, Fang Y, Dreisbach C, Marder K, Weng C, Schnall R. Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. International Journal of Medical Informatics 2023;171:104985
    CrossRef
  23. R Gowda N, Satpathy S, Singh AR, Behera SD. The Holy grail of healthcare analytics: what it takes to get there?. BMJ Leader 2022;:leader-2021-000527
    CrossRef
  24. Seastedt KP, Moukheiber D, Mahindre SA, Thammineni C, Rosen DT, Watkins AA, Hashimoto DA, Hoang CD, Kpodonu J, Celi LA. A scoping review of artificial intelligence applications in thoracic surgery. European Journal of Cardio-Thoracic Surgery 2022;61(2):239
    CrossRef
  25. Mueller B, Kinoshita T, Peebles A, Graber MA, Lee S. Artificial intelligence and machine learning in emergency medicine: a narrative review. Acute Medicine & Surgery 2022;9(1)
    CrossRef
  26. Adedeji T, Fraser H, Scott P. Implementing Electronic Health Records in Primary Care Using the Theory of Change: Nigerian Case Study. JMIR Medical Informatics 2022;10(8):e33491
    CrossRef
  27. Yip M, Ackery A, Jamieson T, Mehta S. The Priorities of End Users of Emergency Department Electronic Health Records: Modified Delphi Study. JMIR Human Factors 2023;10:e43103
    CrossRef
  28. Zelensky A, Cherkesova L, Revyakina E, Boldyrikhin N, Klimova E, Yengibaryan I, Muratov A, Khasanov S. System for detecting of potentially dangerous communications of network users. E3S Web of Conferences 2023;371:01057
    CrossRef
  29. Idnay B, Fang Y, Dreisbach C, Marder K, Weng C, Schnall R. Clinical Research Staff Perceptions on a Natural Language Processing-Driven Tool for Eligibility Prescreening: An Iterative Usability Assessment. SSRN Electronic Journal 2022;
    CrossRef
  30. Ortiz de Frutos FJ, Giménez‐Arnau AM, Puig L, Silvestre JF, Serra E, Salgado‐Boquete L, García‐Patos V, Estebaranz JLL, Notario J, Martin‐Santiago A, Pontevia GM, Martín V, Guinea G, Terradas P, Daudén E. The DERMACLEAR study: Verification results of a natural language processing system in dermatology. JEADV Clinical Practice 2023;2(4):775
    CrossRef
  31. Zhou S, Wang N, Wang L, Sun J, Blaes A, Liu H, Zhang R. A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records. Computational and Structural Biotechnology Journal 2023;22:32
    CrossRef
  32. . Business Insights of Artificial Intelligence and the Future of Humans. American Journal of Trade and Policy 2018;5(3):143
    CrossRef
  33. Wilcox L, Brewer R, Diaz F. AI Consent Futures: A Case Study on Voice Data Collection with Clinicians. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1
    CrossRef
  34. Fogleman BM, Goldman M, Holland AB, Dyess G, Patel A. Charting Tomorrow’s Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future. Cureus 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.5544):

  1. . Research Anthology on Physical and Intellectual Disabilities in an Inclusive Society. 2022. chapter 36:682
    CrossRef
  2. Nuccio M, Mogno S. Mapping Digital Skills in Cultural and Creative Industries in Italy. 2023. Chapter 3:43
    CrossRef
  3. Sarkar N, Goel S. Biomedical Research Developments for Improved Healthcare. 2024. chapter 2:12
    CrossRef