13 papers · ranked by Valyu relevance
Ian M. MacFarlane, Heather Zierhut
Delphi studies, a type of consensus method, are instrumental in healthcare research for gathering expert perspectives, especially when conclusive evidence is not available. Developed in the 1950s, Delphi methodology is characterized by anonymity, iteration, controlled feedback, and statistical group response. The…
Damjan Maletič, Justyna Trojanowska, Mateja Lorber, Matjaž Maletič
Purpose An effective asset management system (AMS) is essential for healthcare organizations looking to maximize value and performance while minimizing risk and cost. This study aims to identify and evaluate the barriers to AMS adoption and evaluate them from a healthcare perspective. Design/methodology/approach The…
Angelika Homberg
Background: Delphi surveys are becoming increasingly important in medical education research, particularly in the development of curricula, assessment instruments, and recommendations for action. However, due to the flexibility and low standardisation of the method, researchers are faced with the challenge of making…
Atte Ojanen, Johannes Anttila, Thilo H. K. Thelitz, Anna Bjork
The rapid advancements in artificial intelligence (AI) present unique challenges for policymakers that seek to govern the technology. In this context, the Delphi method has become an established way to identify consensus and disagreement on emerging technological issues among experts in the field of futures studies and…
Max Rettenmeier, Mauritz Möller, Alexander Sauer
Recycling end-of-life automotive traction batteries is paramount in reducing greenhouse gas emissions and mitigating supply chain dependencies associated with critical raw materials utilized in producing electric vehicle batteries. Deploying disassembly technologies represents a crucial step in the pretreatment…
Joshua Pantanowitz, Christopher D. Manko, John Majewski, M. Alvaro Berbís + 27 more
Background Since their inception, Delphi studies have been a key part of medical literature. They consist of an expert panel tasked with coming to consensus on answers to various questions where obtaining objective results is difficult or impossible, with ranked responses based on a Likert scale. The ability of…
Katherine Blades, Michael Biddle, Robert Froud, Eva M. Krockow + 1 more
The experimental use of antibodies that have not been validated for context-specific use frequently misdirects biomedical research. Experimental results that derive from the use of inadequately validated antibodies are estimated to waste over $1 billion annually in the United States alone and to consume millions of…
Anastasia Urbanelli, Giorgia Pugliese, Elisa Bolis, Matilde Coccapani + 8 more
Background: The Delphi method is increasingly used in otolaryngology to develop consensus in subjects lacking robust evidence. In these contexts, consensus documents play a dual role: they provide structured expert guidance while determining shared principles adaptable to the individual patient. Nevertheless, the…
Yuri Calleo, Simone Di Zio, Fabrizio Maturo
The statistical modeling of consensus in Delphi data faces a critical bottleneck: the high dimensionality of questionnaire items relative to the limited sample size of expert panels. This rank deficiency leads traditional latent variable models, such as Principal Component Analysis, to be structurally unstable and…
Robin de Flores, Kelsey L Canada, Thackery Brown, Nicole J Gervais + 24 more
The hippocampus is a heterogeneous structure with cytoarchitectonically distinct subfields that exhibit heterogeneous lifespan trajectories and are differentially susceptible to diseases. Advances in high-resolution imaging have accelerated research on these structures, yet variability in segmentation protocols limits…
Giulio Caldarelli, Massimiliano Ornaghi
The oracle problem refers to the inability of an agent to know if the information coming from an oracle is authentic and unbiased. In ancient times, philosophers and historians debated on how to evaluate, increase, and secure the reliability of oracle predictions, particularly those from Delphi, which pertained to…
Erfan Arvan, Nadeeshan De Silva, Oscar Chaparro, Martin Kellogg
Prior work on code comprehension uses different comprehension proxies-for example, Likert-scale ratings or answers to input-output questions about program snippets, usually collected from students, to approximate whether code is comprehensible to software engineers, but the relative reliability of these proxies is not…
Ariel Sela
Multi-agent deliberation systems using large language models (LLMs) are increasingly proposed for policy simulation, yet they suffer from artificial consensus: evaluator agents converge on the same option regardless of their assigned value perspectives. We present the AI Council, a three-phase deliberation framework…