Published on in Vol 20, No 1 (2018): January

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

Journals

  1. Metting E, Schrage A, Kocks J, Sanderman R, van der Molen T. Assessing the Needs and Perspectives of Patients With Asthma and Chronic Obstructive Pulmonary Disease on Patient Web Portals: Focus Group Study. JMIR Formative Research 2018;2(2):e22 View
  2. Dai M, Huang Q, Lu Z, Chen B, Wang H, Qin X. Power Allocation for Multiple Transmitter-Receiver Pairs Under Frequency-Selective Fading Based on Convolutional Neural Network. IEEE Access 2020;8:31018 View
  3. Leeson W, Resnick A, Alexander D, Rovers J. Natural Language Processing (NLP) in Qualitative Public Health Research: A Proof of Concept Study. International Journal of Qualitative Methods 2019;18:160940691988702 View
  4. Li F, Jin Y, Liu W, Rawat B, Cai P, Yu H. Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. JMIR Medical Informatics 2019;7(3):e14830 View
  5. Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Medicine 2019;11(1) View
  6. Bala S, Keniston A, Burden M. Patient Perception of Plain-Language Medical Notes Generated Using Artificial Intelligence Software: Pilot Mixed-Methods Study. JMIR Formative Research 2020;4(6):e16670 View
  7. Wang Y, Sohn S, Liu S, Shen F, Wang L, Atkinson E, Amin S, Liu H. A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics and Decision Making 2019;19(1) View
  8. Priyadarshi A, Saha S. Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1) View
  9. Moore N, Yoo S, Poronnik P, Brown M, Ahmadpour N. Exploring User Needs in the Development of a Virtual Reality–Based Advanced Life Support Training Platform: Exploratory Usability Study. JMIR Serious Games 2020;8(3):e20797 View
  10. Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). International Journal of Medical Informatics 2020;135:104058 View
  11. Blok A, Amante D, Hogan T, Sadasivam R, Shimada S, Woods S, Nazi K, Houston T. Impact of Patient Access to Online VA Notes on Healthcare Utilization and Clinician Documentation: a Retrospective Cohort Study. Journal of General Internal Medicine 2021;36(3):592 View
  12. Lalor J, Hu W, Tran M, Wu H, Mazor K, Yu H. Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients. Journal of Medical Internet Research 2021;23(5):e26354 View
  13. van Mens H, Martens S, Paiman E, Mertens A, Nienhuis R, de Keizer N, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071 View
  14. Combi C, Amico B, Bellazzi R, Holzinger A, Moore J, Zitnik M, Holmes J. A manifesto on explainability for artificial intelligence in medicine. Artificial Intelligence in Medicine 2022;133:102423 View
  15. Doppalapudi S, Wang T, Qiu R. Transforming unstructured digital clinical notes for improved health literacy. Digital Transformation and Society 2022;1(1):9 View
  16. Jabali A, Waris A, Khan D, Ahmed S, Hourani R. Electronic health records: Three decades of bibliometric research productivity analysis and some insights. Informatics in Medicine Unlocked 2022;29:100872 View
  17. Kujala S, Hörhammer I, Väyrynen A, Holmroos M, Nättiaho-Rönnholm M, Hägglund M, Johansen M. Patients' Experiences of Web-Based Access to Electronic Health Records in Finland: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(6):e37438 View
  18. Yilmaz Y, Jurado Nunez A, Ariaeinejad A, Lee M, Sherbino J, Chan T. Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education. JMIR Medical Education 2022;8(2):e30537 View
  19. Keloth V, Zhou S, Lindemann L, Zheng L, Elhanan G, Einstein A, Geller J, Perl Y. Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics and Decision Making 2023;23(S1) View
  20. Lalor J, Wu H, Mazor K, Yu H. Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. International Journal of Medical Informatics 2023;172:105006 View
  21. Li X, Zhang Y, Jin J, Sun F, Li N, Liang S, Ijaz M. A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications. PLOS ONE 2023;18(3):e0282824 View
  22. Tenorio J, de Moraes F, Pisa I. CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language. Journal of Information Science 2023 View
  23. van Mens H, Hannen G, Nienhuis R, Bolt R, de Keizer N, Cornet R. Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal. Applied Clinical Informatics 2023;14(03):455 View
  24. Nacht C, Jacobson N, Shiyanbola O, Smith C, Hoonakker P, Coller R, Dean S, Sklansky D, Smith W, Sprackling C, Kelly M. Perception of Physicians’ Notes Among Parents of Different Health Literacy Levels. Hospital Pediatrics 2024 View

Books/Policy Documents

  1. Lloyd N, Khuman A. Artificial Intelligence in Healthcare. View
  2. Ningtyas A, El-Ebshihy A, Herwanto G, Piroi F, Hanbury A. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View
  3. Mishra M, Dubey V, Hackett T, Kashyap M. Artificial Intelligence and Machine Learning in Healthcare. View