Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18526, first published .
Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer

Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer

Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer

Journals

  1. Kulkarni N, Khalil A, Lee R. Postoperative histology discussion in the colorectal multidisciplinary team: requirement for the colorectal nurse specialist. Gastrointestinal Nursing 2022;20(5):36 View
  2. López-Úbeda P, Martín-Noguerol T, Aneiros-Fernández J, Luna A. Natural Language Processing in Pathology. The American Journal of Pathology 2022;192(11):1486 View
  3. Hwang G, Tang K, Tu Y. How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020). Interactive Learning Environments 2024;32(1):373 View
  4. Lamer A, Abou-Arab O, Bourgeois A, Parrot A, Popoff B, Beuscart J, Tavernier B, Moussa M. Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study. Journal of Medical Internet Research 2021;23(10):e29259 View
  5. Yoo S, Yoon E, Boo D, Kim B, Kim S, Paeng J, Yoo I, Choi I, Kim K, Ryoo H, Lee S, Song E, Joo Y, Kim J, Lee H. Transforming Thyroid Cancer Diagnosis and Staging Information from Unstructured Reports to the Observational Medical Outcome Partnership Common Data Model. Applied Clinical Informatics 2022;13(03):521 View
  6. Vuokko R, Vakkuri A, Palojoki S. Systematized Nomenclature of Medicine–Clinical Terminology (SNOMED CT) Clinical Use Cases in the Context of Electronic Health Record Systems: Systematic Literature Review. JMIR Medical Informatics 2023;11:e43750 View
  7. Seong D, Choi Y, Shin S, Yi B. Deep learning approach to detection of colonoscopic information from unstructured reports. BMC Medical Informatics and Decision Making 2023;23(1) View
  8. Keloth V, Banda J, Gurley M, Heider P, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, V Patterson O, Peng Y, Raja K, Reeves R, Rouhizadeh M, Shi J, Wang X, Wang Y, Wei W, Williams A, Zhang R, Belenkaya R, Reich C, Blacketer C, Ryan P, Hripcsak G, Elhadad N, Xu H. Representing and utilizing clinical textual data for real world studies: An OHDSI approach. Journal of Biomedical Informatics 2023;142:104343 View
  9. Kempf E, Vaterkowski M, Leprovost D, Griffon N, Ouagne D, Breant S, Serre P, Mouchet A, Rance B, Chatellier G, Bellamine A, Frank M, Guerin J, Tannier X, Livartowski A, Hilka M, Daniel C. How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in Urologic Cancers. JCO Clinical Cancer Informatics 2023;(7) View
  10. Gholipour M, Khajouei R, Amiri P, Hajesmaeel Gohari S, Ahmadian L. Extracting cancer concepts from clinical notes using natural language processing: a systematic review. BMC Bioinformatics 2023;24(1) View
  11. Du L, Hong F, Zhu Y, Chen W, Zhang Z, Fu P, Li Q, Zhou P. Integration of endoscopic professional database development and image annotation platform: Radiation control plan for gastric examination. Journal of Radiation Research and Applied Sciences 2024;17(4):101085 View
  12. Cho H, Yoo S, Kim B, Jang S, Sunwoo L, Kim S, Lee D, Kim S, Nam S, Chung J. Extracting lung cancer staging descriptors from pathology reports: A generative language model approach. Journal of Biomedical Informatics 2024;157:104720 View
  13. Song W, Park M. RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning. BMC Medical Informatics and Decision Making 2024;24(S2) View

Books/Policy Documents

  1. Rauch J, Hübner U. Nursing Informatics. View