David Lyell
Overview
Explore the profile of David Lyell including associated specialties, affiliations and a list of published articles.
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Articles
17
Citations
170
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0
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Recent Articles
1.
Wang Y, Lyell D, Coiera E, Magrabi F
Stud Health Technol Inform
. 2024 Jan;
310:604-608.
PMID: 38269880
With growing use of machine learning (ML)-enabled medical devices by clinicians and consumers safety events involving these systems are emerging. Current analysis of safety events heavily relies on retrospective review...
2.
Lyell D, Lustig A, Denyer K, Vedantam S, Magrabi F
Stud Health Technol Inform
. 2024 Jan;
310:299-303.
PMID: 38269813
Clinical simulation is a useful method for evaluating AI-enabled clinical decision support (CDS). Simulation studies permit patient- and risk-free evaluation and far greater experimental control than is possible with clinical...
3.
Susanto A, Lyell D, Widyantoro B, Berkovsky S, Magrabi F
Stud Health Technol Inform
. 2024 Jan;
310:279-283.
PMID: 38269809
Real-world performance of machine learning (ML) models is crucial for safely and effectively embedding them into clinical decision support (CDS) systems. We examined evidence about the performance of contemporary ML-based...
4.
Magrabi F, Lyell D, Coiera E
Yearb Med Inform
. 2023 Dec;
32(1):115-126.
PMID: 38147855
Aims And Objectives: To examine the nature and use of automation in contemporary clinical information systems by reviewing studies reporting the implementation and evaluation of artificial intelligence (AI) technologies in...
5.
Lyell D, Magrabi F
Intern Med J
. 2023 Sep;
53(9):1533-1539.
PMID: 37683094
The question of whether the time has come to hang up the stethoscope is bound up in the promises of artificial intelligence (AI), promises that have so far proven difficult...
6.
Susanto A, Lyell D, Widyantoro B, Berkovsky S, Magrabi F
J Am Med Inform Assoc
. 2023 Aug;
30(12):2050-2063.
PMID: 37647865
Objective: This study aims to summarize the research literature evaluating machine learning (ML)-based clinical decision support (CDS) systems in healthcare settings. Materials And Methods: We conducted a review in accordance...
7.
Lyell D, Wang Y, Coiera E, Magrabi F
J Am Med Inform Assoc
. 2023 Apr;
30(7):1227-1236.
PMID: 37071804
Objective: To examine the real-world safety problems involving machine learning (ML)-enabled medical devices. Materials And Methods: We analyzed 266 safety events involving approved ML medical devices reported to the US...
8.
Bowden T, Lyell D, Coiera E
BMJ Health Care Inform
. 2022 May;
29(1).
PMID: 35618316
Objective: To explore emergency department (ED) and urgent care (UC) clinicians' perceptions of digital access to patients' past medical history (PMH). Methods: An online survey compared anticipated and actual value...
9.
Akbar S, Lyell D, Magrabi F
Stud Health Technol Inform
. 2021 Dec;
284:269-274.
PMID: 34920524
The use of computerized decision support systems (DSS) in nursing practice is increasing. However, research about who uses DSS, where are they implemented, and how they are linked with standards...
10.
Akbar S, Lyell D, Magrabi F
J Am Med Inform Assoc
. 2021 Sep;
28(11):2502-2513.
PMID: 34498063
Objective: The study sought to summarize research literature on nursing decision support systems (DSSs ); understand which steps of the nursing care process (NCP) are supported by DSSs, and analyze...