Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14185, first published .
A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation

A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation

A Real-Time Automated Patient Screening System for Clinical Trials Eligibility in an Emergency Department: Design and Evaluation

Journals

  1. Chamberlin S, Bedrick S, Cohen A, Wang Y, Wen A, Liu S, Liu H, Hersh W. Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task. JAMIA Open 2020;3(3):395 View
  2. Ni Y, Barzman D, Bachtel A, Griffey M, Osborn A, Sorter M. Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence. International Journal of Medical Informatics 2020;139:104137 View
  3. Stubbs A, Filannino M, Soysal E, Henry S, Uzuner Ö. Cohort selection for clinical trials: n2c2 2018 shared task track 1. Journal of the American Medical Informatics Association 2019;26(11):1163 View
  4. Spasic I, Krzeminski D, Corcoran P, Balinsky A. Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach. JMIR Medical Informatics 2019;7(4):e15980 View
  5. Kirubarajan A, Taher A, Khan S, Masood S. Artificial intelligence in emergency medicine: A scoping review. Journal of the American College of Emergency Physicians Open 2020;1(6):1691 View
  6. Naik H, Palaniappan L, Ashley E, Scott S. Digital Health Applications for Pharmacogenetic Clinical Trials. Genes 2020;11(11):1261 View
  7. Naceanceno K, House S, Asaro P. Shared-Task Worklists Improve Clinical Trial Recruitment Workflow in an Academic Emergency Department. Applied Clinical Informatics 2021;12(02):293 View
  8. von Itzstein M, Hullings M, Mayo H, Beg M, Williams E, Gerber D. Application of Information Technology to Clinical Trial Evaluation and Enrollment. JAMA Oncology 2021 View
  9. Ni Y, Bachtel A, Nause K, Beal S. Automated detection of substance use information from electronic health records for a pediatric population. Journal of the American Medical Informatics Association 2021 View

Books/Policy Documents

  1. Soomro K, Pimenidis E. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. View
  2. Gasmi A. Computational Intelligence Techniques for Combating COVID-19. View