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

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

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

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

Journals

  1. Matulis J, 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 View
  2. Banerjee A. Challenges for learning health systems in the NHS. Case study: electronic health records in cardiology. Future Healthcare Journal 2017;4(3):193 View
  3. Payne T, Alonso W, Markiel J, Lybarger K, Lordon R, Yetisgen M, Zech J, White A. Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction. JAMIA Open 2018;1(2):218 View
  4. Velupillai S, Suominen H, Liakata M, Roberts A, Shah A, 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 View
  5. Grön L, Bertels A. Clinical sublanguages. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 2018;24(1):41 View
  6. Guetterman T, Chang T, DeJonckheere M, Basu T, Scruggs E, Vydiswaran V. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research 2018;20(6):e231 View
  7. Payne T, Alonso W, Markiel J, Lybarger K, White A. 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 View
  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) View
  9. Lorenzetti D, Quan H, Lucyk K, Cunningham C, Hennessy D, Jiang J, Beck C. Strategies for improving physician documentation in the emergency department: a systematic review. BMC Emergency Medicine 2018;18(1) View
  10. Amer E. Enhancing Disability Determination Decision Process Through Natural Language Processing. International Journal of Applied Research on Public Health Management 2019;4(2):15 View
  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 View
  12. Sai Prashanthi G, Deva A, Vadapalli R, Das A. 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 View
  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 View
  14. Moy A, Schwartz J, Chen R, Sadri S, Lucas E, Cato K, Rossetti S. 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 View
  15. van Mourik M, van Rooden S, Abbas M, Aspevall O, Astagneau P, Bonten M, Carrara E, Gomila-Grange A, de Greeff S, Gubbels S, Harrison W, Humphreys H, Johansson A, Koek M, Kristensen B, Lepape A, Lucet J, Mookerjee S, Naucler P, Palacios-Baena Z, Presterl E, Pujol M, Reilly J, Roberts C, Tacconelli E, Teixeira D, Tängdén T, Valik J, Behnke M, Gastmeier P. PRAISE: providing a roadmap for automated infection surveillance in Europe. Clinical Microbiology and Infection 2021;27:S3 View
  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 View
  17. Roth C, Papassotiropoulos A, Brühl A, Lang U, Huber C. Psychiatry in the Digital Age: A Blessing or a Curse?. International Journal of Environmental Research and Public Health 2021;18(16):8302 View
  18. Yang K, Nambudiri V. Anticipating Ambulatory Automation: Potential Applications of Administrative and Clinical Automation in Outpatient Healthcare Delivery. Applied Clinical Informatics 2021;12(05):1157 View
  19. Lossio-Ventura J, Sun R, Boussard S, Hernandez-Boussard T. Clinical concept recognition: Evaluation of existing systems on EHRs. Frontiers in Artificial Intelligence 2023;5 View
  20. Chua I, Ritchie C, Bates D. Enhancing serious illness communication using artificial intelligence. npj Digital Medicine 2022;5(1) View
  21. Prakash V, Piquette D, Amaral A. The Artificially Intelligent Teacher: Applying Natural Language Processing to Critical Care Education. ATS Scholar 2022;3(4):505 View
  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 View
  23. R Gowda N, Satpathy S, Singh A, Behera S. The Holy grail of healthcare analytics: what it takes to get there?. BMJ Leader 2022;6(4):286 View
  24. Seastedt K, Moukheiber D, Mahindre S, Thammineni C, Rosen D, Watkins A, Hashimoto D, Hoang C, Kpodonu J, Celi L. A scoping review of artificial intelligence applications in thoracic surgery. European Journal of Cardio-Thoracic Surgery 2022;61(2):239 View
  25. Mueller B, Kinoshita T, Peebles A, Graber M, Lee S. Artificial intelligence and machine learning in emergency medicine: a narrative review. Acute Medicine & Surgery 2022;9(1) View
  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 View
  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 View
  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 View
  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 View
  30. Ortiz de Frutos F, Giménez‐Arnau A, Puig L, Silvestre J, Serra E, Salgado‐Boquete L, García‐Patos V, Estebaranz J, Notario J, Martin‐Santiago A, Pontevia G, 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 View
  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 View
  32. Thaduri U. Business Insights of Artificial Intelligence and the Future of Humans. American Journal of Trade and Policy 2018;5(3):143 View
  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 View
  34. Fogleman B, Goldman M, Holland A, Dyess G, Patel A. Charting Tomorrow’s Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future. Cureus 2024 View
  35. Mohseni A, Ghotbi E, Kazemi F, Shababi A, Jahan S, Mohseni A, Shababi N. Artificial Intelligence in Radiology. Radiologic Clinics of North America 2024;62(6):935 View
  36. Bhatia A, Titus R, Porto J, Katz J, Lopategui D, Marcovich R, Parekh D, Shah H. Application of Natural Language Processing in Electronic Health Record Data Extraction for Navigating Prostate Cancer Care: A Narrative Review. Journal of Endourology 2024;38(8):852 View
  37. Sloss E, Abdul S, Aboagyewah M, Beebe A, Kendle K, Marshall K, Rosenbloom S, Rossetti S, Grigg A, Smith K, Mishuris R. Toward Alleviating Clinician Documentation Burden: A Scoping Review of Burden Reduction Efforts. Applied Clinical Informatics 2024;15(03):446 View

Books/Policy Documents

  1. Amer E. Research Anthology on Physical and Intellectual Disabilities in an Inclusive Society. View
  2. Nuccio M, Mogno S. Mapping Digital Skills in Cultural and Creative Industries in Italy. View
  3. Sarkar N, Goel S. Biomedical Research Developments for Improved Healthcare. View