Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool

Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall. Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. In AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022. AMIA, 2022. [doi]

@inproceedings{IdnayFDMWS22,
  title = {Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool},
  author = {Betina Ross S. Idnay and Yilu Fang and Caitlin N. Dreisbach and Karen Marder and Chunhua Weng and Rebecca Schnall},
  year = {2022},
  url = {https://knowledge.amia.org/76677-amia-1.4637602/f008-1.4640715/f008-1.4640716/1056-1.4641368/224-1.4641365},
  researchr = {https://researchr.org/publication/IdnayFDMWS22},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022},
  publisher = {AMIA},
}