Farah Magrabi

Farah Magrabi

Macquarie University

H-index: 37

Oceania-Australia

About Farah Magrabi

Farah Magrabi, With an exceptional h-index of 37 and a recent h-index of 28 (since 2020), a distinguished researcher at Macquarie University, specializes in the field of health informatics, patient safety, artificial intelligence, health IT evaluation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automating the identification of safety events involving machine learning-enabled medical devices

How well do AI-enabled decision support systems perform in clinical settings?

Assessing the safety of a new clinical decision support system for a national helpline

Using clinical simulation to evaluate AI-enabled decision support

Clinical decision support versus a paper‐based protocol for massive transfusion: Impact on decision outcomes in a simulation study

International dimensions of clinical decision support systems

More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA

Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review

Farah Magrabi Information

University

Position

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Citations(all)

5440

Citations(since 2020)

3397

Cited By

3153

hIndex(all)

37

hIndex(since 2020)

28

i10Index(all)

78

i10Index(since 2020)

56

Email

University Profile Page

Macquarie University

Google Scholar

View Google Scholar Profile

Farah Magrabi Skills & Research Interests

health informatics

patient safety

artificial intelligence

health IT evaluation

Top articles of Farah Magrabi

Title

Journal

Author(s)

Publication Date

Automating the identification of safety events involving machine learning-enabled medical devices

Ying Wang

David Lyell

Enrico Coiera

Farah Magrabi

2024/1/25

How well do AI-enabled decision support systems perform in clinical settings?

Anindya Pradipta Susanto

David Lyell

Bambang Widyantoro

Shlomo Berkovsky

Farah Magrabi

2024/1/25

Assessing the safety of a new clinical decision support system for a national helpline

Nirvana Luckraj

Renee Strazzari

Enrico Coiera

Farah Magrabi

2024/1/25

Using clinical simulation to evaluate AI-enabled decision support

David Lyell

Adriaan Lustig

Kate Denyer

Satya Vedantam

Farah Magrabi

2024

Clinical decision support versus a paper‐based protocol for massive transfusion: Impact on decision outcomes in a simulation study

Transfusion

Brenton J Sanderson

Jeremy D Field

Ahmet B Kocaballi

Lise J Estcourt

Farah Magrabi

...

2023/12

International dimensions of clinical decision support systems

Farah Magrabi

Kathrin Cresswell

Hamish SF Fraser

2023/1/1

More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA

Journal of the American Medical Informatics Association

David Lyell

Ying Wang

Enrico Coiera

Farah Magrabi

2023/7/1

Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review

Anindya Pradipta Susanto

David Lyell

Bambang Widyantoro

Shlomo Berkovsky

Farah Magrabi

2023/12/1

Recommendations for terminology, abbreviations and symbols used in medicines documentation: a rapid literature review

Magdalena Z Raban

Alison Merchant

Erin Fitzpatrick

Farah Magrabi

2023/6

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision

Health policy

Kathrin Cresswell

Michael Rigby

Farah Magrabi

Philip Scott

Jytte Brender

...

2023/10/1

Multicenter, multidisciplinary user‐centered design of a clinical decision‐support and simulation system for massive transfusion

Transfusion

Brenton Sanderson

Jeremy D Field

Ahmet B Kocaballi

Lise J Estcourt

Farah Magrabi

...

2023/5

Artificial intelligence in medicine: has the time come to hang up the stethoscope?

Internal Medicine Journal

David Lyell

Farah Magrabi

2023/9

Using automated methods to detect safety problems with health information technology: a scoping review

Didi Surian

Ying Wang

Enrico Coiera

Farah Magrabi

2023/2/1

Automation in contemporary clinical information systems: a survey of AI in healthcare settings

Yearbook of Medical Informatics

Farah Magrabi

David Lyell

Enrico Coiera

2023/8

A National Policy Roadmap for Artificial Intelligence in Healthcare

Enrico Coiera

Farah Magrabi

2023

Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review

Sepideh Jahandideh

Guncag Ozavci

Berhe W Sahle

Abbas Z Kouzani

Farah Magrabi

...

2023/7/1

Should AI-enabled medical devices be explainable?

International Journal of Law and Information Technology

Rita Matulionyte

Paul Nolan

Farah Magrabi

Amin Beheshti

2022/6/1

Ethical guidance for hard decisions: a critical review of early International COVID-19 ICU triage guidelines

Yves Saint James Aquino

Wendy A Rogers

Jackie Leach Scully

Farah Magrabi

Stacy M Carter

2022/6

What did you do to avoid the climate disaster? A call to arms for health informatics

Enrico Coiera

Farah Magrabi

2022/12/1

Clinical safety risks with healthcare AI: an analysis of incidents reported to the US FDA from 2015 to April 2021

David Lyell

Ying Wang

Farah Magrabi

2022/2/21

See List of Professors in Farah Magrabi University(Macquarie University)

Co-Authors

H-index: 79
Enrico Coiera

Enrico Coiera

Macquarie University

H-index: 74
Johanna Westbrook

Johanna Westbrook

Macquarie University

H-index: 67
Nicolette de Keizer

Nicolette de Keizer

Universiteit van Amsterdam

H-index: 45
Andrew Georgiou

Andrew Georgiou

Macquarie University

H-index: 29
Annie Y S Lau, BE PhD

Annie Y S Lau, BE PhD

Macquarie University

H-index: 23
Mei-Sing Ong

Mei-Sing Ong

Harvard University

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