The cRhona application is a “clone” of an evidence intermediary, integrating the latest Artificial Intelligence technologies to amplify its efficiency, accuracy, collaboration, coordination, and transparency in rapid evidence synthesis approaches. In the cRhona application, policymakers, evidence intermediaries, and domain experts collaborate and coordinate to ensure that the evidence synthesis is just-in-time when it is needed, comprehensive and high quality even in very urgent situations, e.g., less than 48 hours.
ChatEIDM is an innovative integration of an evidence map and a chatbot, designed to provide policymakers, researchers, and knowledge brokers with well-curated, accurate, and timely data. Trained on a robust dataset, ChatEIDM offers a seamless and intuitive platform for accessing evidence-based insights, empowering users to make informed decisions with confidence.
The Evidence Policy Square is a digital platform that connects stakeholders to discuss, agree on, and engage with policy priorities and available evidence to inform policy and decision-making in a specific field. Users can raise questions about what evidence is needed, discuss those questions with one another, discuss the evidence that answers them, link that evidence to real policies, and reach an agreed position before the evidence is used to make decisions.
A large language model (LLM) used to automate title/abstract screening in systematic reviews by classifying articles as included or excluded based on their title, abstract, and eligibility criteria, providing both decisions and reasoning.
