Delphi method in life science: myth or reality?

The Delphi method, originally developed in the mid-20th century, has gained prominence as a structured and iterative technique for achieving consensus among a panel of experts. In the dynamic and multidisciplinary field of life sciences (LS), where diverse perspectives converge, the Delphi method offers a valuable tool for addressing complex research questions, fostering collaboration, and synthesizing expert opinions (1). We aim to elucidate the application of the Delphi method in LS research, emphasizing its efficacy in promoting consensus-building and informed decision-making within the scientific community. Through a review of pertinent literature and illustrative case studies, this presentation will highlight the versatility and adaptability of the Delphi method in addressing the challenges unique to LS research (2). The Delphi method involves a series of structured surveys and iterative rounds of feedback, allowing a panel of experts to converge towards a collective viewpoint. The approach facilitates anonymity, encourages open communication, and accommodates diverse perspectives. By utilizing a systematic process of controlled feedback, the Delphi method enables the identification of areas of agreement and divergence among experts, fostering a more nuanced understanding of complex issues. Case studies from various LS domains will be presented to demonstrate the successful application of the Delphi method. Examples will include its use in establishing disease epidemiology in case of scanty data, prioritizing research objectives, and defining consensus on emerging technologies. The results will showcase the Delphi method as a valuable tool for harnessing the collective intelligence of experts, thereby contributing to evidence-based decision-making in the LS. By critically examining its application, addressing challenges, and presenting successful cases, the presentation will contribute to a deeper understanding of whether the Delphi method is a myth or a tangible reality in advancing consensus-building efforts in this multifaceted field.