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Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare

Journal of the American Medical Informatics Association, Volume 31, Issue 2, February 2024, Pages 435–444,

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Maryam Zolnoori, PhD
Columbia School of Nursing
Mayo Clinic

Maryam Zolnoori, PhD, is a postdoctoral research scientist in the School of Nursing. She has master’s degrees in information technology and health informatics from Tarbiat Modares University and Indiana University, respectively, and a bachelor's degree in business management from Tehran University. She received her PhD in health sciences-clinical Informatics from the University of Wisconsin-Milwaukee.

Zolnoori has received several notable awards, including a Food and Drug Administration Center of Excellence in Regulatory Science and Innovation project at Mayo Clinic, an Intramural Research Training Award from Lister Hill National Center for Biomedical Communications at the National Library of Medicine/National Institutes of Health, and research awards from the Columbia Center of Artificial Intelligence Technology.


  • 35-minute presentation by article author(s) considering salient features of the published study and its potential impact on practice
  • 25-minute discussion of questions submitted by listeners via the webinar tools and moderated by JAMIA Student Editorial Board members. 

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement

The American Medical Informatics Association designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

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Type: Webinar
Course Format(s): On Demand
Price: Free