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First, an umbrella review was conducted to build on previous work, and second, experts were invited to reach consensus on the relevant research questions using a modified Delphi method. This 2-stage approach was used to ensure a balance between the published literature and test its applicability through expert opinion. Details of each stage are described in the following sections.
J Med Internet Res 2025;27:e66157
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Qualified health care experts from these 15 hospitals will be recruited to participate in the Delphi survey. Patients will be recruited from the Encephalopathy Department of Xiyuan Hospital. The inclusion and exclusion criteria for the health care experts and patients are listed in Table 2.
Inclusion and exclusion criteria for health professionals and patients in the Delphi survey.
More than 1 year of work experience.
Bachelor’s degree or above.
Experience working in tertiary hospitals.
JMIR Res Protoc 2025;14:e63481
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For this study, the steering committee are the experts who will assist in the design and development of questions and statements for the Delphi rounds.
As this is a niche area with limited research, we did not conduct a formal literature search commonly seen in the Delphi process. Instead, the first step to preparing our Delphi study was to identify key terms relating to digital surveillance tools for COVID-19 pandemic.
JMIR Res Protoc 2024;13:e58389
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Following the establishment of an integrated knowledge translation panel, we aim to use an iterative online-modified Delphi study design to (1) compare and contrast the perspectives of youth, caregivers, health care providers, and health system leaders or decision makers on quality indicators for transition; and (2) prioritize a key set of quality indicators for transition applicable across disease populations and care settings in the Canadian context.
JMIR Res Protoc 2024;13:e60860
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Clinician-Prioritized Measures to Use in a Remote Concussion Assessment: Delphi Study
Further, 1 approach to finding consensus on possible clinical measures is to use the Delphi method which typically involves at least 2 rounds of survey administration to expert clinicians. Commonly, exploratory questions are asked in the first round followed by more targeted, specific questions in a subsequent round. The Delphi method is a useful approach for obtaining anonymous opinions from several participants across disciplines and wide-spread locations [7].
JMIR Form Res 2024;8:e47246
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To assess data science experts’ agreement on the levels of human-AI teaming and technological feasibility to augment or automate each of the 6 core tasks, we conducted an international Delphi survey [25,26]. The Delphi survey is an iterative process method aiming to forecast future (technological) developments and attain consensus among a group of experts regarding questions where there are no clear right or wrong answers and where there is limited or contradictory information.
J Med Internet Res 2024;26:e50130
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The >75% consensus level is not arbitrary but is based on the systematic review of Delphi consensus definitions by Diamond and colleagues [14]; here, across a random sample of 100 successful Delphi investigations, 75% was the median threshold to establish consensus.
The Delphi technique aims to build consensus on prespecified topics by soliciting the opinions, testimonies, or judgments of experts (Delphi panelists) with successive, anonymized questionnaires [13].
JMIR Res Protoc 2024;13:e56271
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Potential of Large Language Models in Health Care: Delphi Study
First, a modified Delphi method [22] was used to aggregate opinions on the potential and limitations of LLMs in health care. Second, to increase the practical relevance of the analysis, the results were aggregated into the SWOT of LLMs. The Delphi method is widely used to evaluate consensus, or lack thereof, among participants [23].
J Med Internet Res 2024;26:e52399
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To develop the principles, the EEWG used a modified Delphi approach to facilitate discussions around tangible steps that the Consortium should take to ensure that ethics and fairness are at the forefront of AI and ML applications to build equity in biomedical research, education, and health care [28].
JMIR AI 2023;2:e52888
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The consensus in the choice of the item wording of the questionnaire was compiled following the discussions using the Delphi process during May 2020 to confront and converge the thoughts and opinions of the expert panel, with the objective of coming to a group consensus [19,20]. Experts were identified by their long-standing activity in medication adherence management.
J Med Internet Res 2023;25:e42384
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