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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3845) Clinical Information and Decision Making (3890) Digital Health, Telehealth and e-Innovation in Clinical Settings (755) mHealth in a Clinical Setting (1214) Decision Support for Health Professionals (2348) Machine Learning (3340) Artificial Intelligence (5022)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93931, first published .
Nurse showing tablet with AI in healthcare icons: triage, risk prediction, patient outcomes.

Technological Integration in Triage With AI and Machine Learning Compared With Conventional Triage and Narrative Synthesis of Telehealth for Patient Prioritization in Emergency and Acute Care Settings: Systematic Review and Meta-Analysis

Technological Integration in Triage With AI and Machine Learning Compared With Conventional Triage and Narrative Synthesis of Telehealth for Patient Prioritization in Emergency and Acute Care Settings: Systematic Review and Meta-Analysis

Authors of this article:

Faii O M Ashour1 Author Orcid Image ;   Waqas Sami2 Author Orcid Image ;   Intima Alrimawi3 Author Orcid Image ;   Moattar Raza Rizvi4 Author Orcid Image ;   Majeda M El-Banna1 Author Orcid Image
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Faii O M Ashour   1 , BSc ;   Waqas Sami   2 , PhD ;   Intima Alrimawi   3 , BSN (RN), MPH, MSN, PhD ;   Moattar Raza Rizvi   4 , PhD ;   Majeda M El-Banna   1 , PhD

1 College of Nursing, QU-Health Sector, Qatar University, Doha, Qatar

2 Department of Pre-Clinical Affairs, College of Nursing, QU-Health, Qatar University, Doha, Qatar

3 Berkley School of Nursing, Georgetown University, Washington, DC, United States

4 Faculty of Allied Health Sciences, Santosh Deemed to be University, Ghaziabad, Delhi, NCR, India

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