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Rhode Island Medical Journal (2013)
|
June 25, 2026
Developing an Automated Text Message Program in the Emergency Department
Meylakh Barshay, Jared S Anderson
Annals of Family Medicine
|
February 21, 2024
Friend or Foe? Helping Health Care Leadership Reimagine a Healthy EHR Relationship
Meylakh Barshay, Caroline R Richardson
Pediatric Emergency Care
|
February 21, 2025
Dieulafoy Lesion in a Pediatric Patient
Meylakh Barshay, Maiya Cowan, Meghan Beucher
Clinical and Experimental Emergency Medicine
|
December 2, 2025
Pilot Study Measuring Patient Reported Outcomes in Cannabinoid Hyperemesis Syndrome (CHS) patients treated in the Emergency Department
Ryan Heidish, Aditya Loganathan, Taylor Bolden, et al.
Clinical and Experimental Emergency Medicine
|
December 2, 2025
Pilot Study of Recurrent Abdominal Pain in the ED: Low-Risk Disease Associated with High Severity Pain and Frequent Opioid Administration
Soroush Shahamatdar, Felice Yang, Meylakh Barshay, et al.
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|
August 27, 2025
Tracking Engagement with Remote Patient Monitoring in Prenatal Care and Detection of Preeclampsia: A Retrospective Review
Meylakh Barshay, Crystal Zang, Taylor Bolden, et al.
BMC Medical Informatics and Decision Making
|
October 17, 2023
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
Jeffrey A Kline, Brian Reed, Alex Frost, et al.
The American Journal of Emergency Medicine
|
December 25, 2025
Predictors of missed hemodialysis in end-stage renal disease patients presenting to the emergency department
Christopher Payette, Ryan Heidish, Aditya Loganathan, et al.
JTCVS Open
|
November 13, 2024
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis
Andrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square
|
January 10, 2024
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis
Andrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Rhode Island Medical Journal (2013)
|
June 25, 2026
Developing an Automated Text Message Program in the Emergency Department
Meylakh Barshay, Jared S Anderson
Annals of Family Medicine
|
February 21, 2024
Friend or Foe? Helping Health Care Leadership Reimagine a Healthy EHR Relationship
Meylakh Barshay, Caroline R Richardson
Pediatric Emergency Care
|
February 21, 2025
Dieulafoy Lesion in a Pediatric Patient
Meylakh Barshay, Maiya Cowan, Meghan Beucher
Clinical and Experimental Emergency Medicine
|
December 2, 2025
Pilot Study Measuring Patient Reported Outcomes in Cannabinoid Hyperemesis Syndrome (CHS) patients treated in the Emergency Department
Ryan Heidish, Aditya Loganathan, Taylor Bolden, et al.
Clinical and Experimental Emergency Medicine
|
December 2, 2025
Pilot Study of Recurrent Abdominal Pain in the ED: Low-Risk Disease Associated with High Severity Pain and Frequent Opioid Administration
Soroush Shahamatdar, Felice Yang, Meylakh Barshay, et al.
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|
August 27, 2025
Tracking Engagement with Remote Patient Monitoring in Prenatal Care and Detection of Preeclampsia: A Retrospective Review
Meylakh Barshay, Crystal Zang, Taylor Bolden, et al.
BMC Medical Informatics and Decision Making
|
October 17, 2023
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
Jeffrey A Kline, Brian Reed, Alex Frost, et al.
The American Journal of Emergency Medicine
|
December 25, 2025
Predictors of missed hemodialysis in end-stage renal disease patients presenting to the emergency department
Christopher Payette, Ryan Heidish, Aditya Loganathan, et al.
JTCVS Open
|
November 13, 2024
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis
Andrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square
|
January 10, 2024
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis
Andrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Page
of 2