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Launch of FactsR system by Corti for medical consultations

Real-time agentic reasoning system for clinical consultations, FactsR, unveiled by Corti

Clinician-led rollout of FactsR system intended for medical consultations
Clinician-led rollout of FactsR system intended for medical consultations

Launch of FactsR system by Corti for medical consultations

In a groundbreaking move, Corti has launched FactsR, a real-time agentic reasoning system designed to streamline and enhance clinical consultations in healthcare. Powered by Corti's recursive fact-first reasoning loop, this purpose-built engine is set to redefine the way clinical knowledge is surfaced, validated, and structured in real time.

At the heart of FactsR lies its ability to listen, learn, and reason in real-time. By analysing live clinical consultations, such as emergency calls, the system can detect patterns and signals in speech that may indicate specific medical emergencies or conditions, often picking up cues that human operators might miss. This real-time audio analysis forms the foundation for FactsR's decision support, providing healthcare providers with immediate suggestions and alerts based on its analysis.

FactsR operates as an active participant in the consultation, dynamically reasoning about the context, asking clarifying questions, and adapting its guidance as the conversation unfolds—not just a passive listener. This agentic reasoning ensures thorough, context-aware support, helping to guide the conversation and ensure critical questions are not overlooked.

The system's continuous learning capabilities enable it to analyse outcomes and feedback from past consultations, refining its ability to recognise medical situations and suggest appropriate interventions. This continuous improvement ensures that FactsR remains relevant and accurate, adapting to new cases as they arise.

FactsR is supported by a dedicated relational database that records detailed information about users, callers, clinical departments, and generates structured reports summarising each consultation. These reports can include actionable instructions for follow-up care, making FactsR an invaluable tool for both clinicians and healthcare administrators.

The benefits of FactsR are manifold. By rapidly identifying critical medical situations, FactsR can help reduce the time to diagnosis and intervention, which is crucial in emergency scenarios. Real-time decision support and agentic reasoning can help ensure that important clinical questions are asked and answered, reducing the risk of oversight or error during high-stakes consultations.

Moreover, FactsR can serve as a training tool, highlighting common pitfalls and areas for improvement among clinical staff. Its scalability and consistency ensure that high volumes of consultations can be handled efficiently, delivering consistent guidance and reducing variability in care quality. By offloading some of the reasoning and pattern-recognition tasks to the AI, healthcare providers can focus more on patient interaction and complex clinical decision-making.

FactsR reflects a foundational shift in AI system design, from passive summarisation to active reasoning. By reducing general purpose AI driven "note bloat" by 65 percent, FactsR keeps records precise and relevant. Every fact in FactsR carries a timestamp, confidence score, and conversation link, ensuring transparency and accountability.

Corti's CTO, Lars Maaløe, emphasises FactsR as a foundation for real-time clinical intelligence. By elevating ambient documentation into a trusted collaborator for clinicians, FactsR sets a new benchmark for ambient AI in healthcare, offering real-time decision support at the point of care. The innovation behind FactsR has been published with evaluation results on the Primock57 dataset, marking a significant step forward in the integration of AI in healthcare.

  1. FactsR, a real-time agentic reasoning system, operates within clinical consultations, utilizing digital health technology to analyze live conversations and detect medical emergencies or conditions, enhancing the accuracy and efficiency of ambient documentation in health-and-wellness services.
  2. Powered by a purpose-built engine and structured around science, FactsR is set to redefine the way clinical knowledge is surfaced, validated, and structured, offering healthcare providers immediate suggestions and alerts during consultations, and refining its ability to recognize medical situations over time through continuous learning capabilities.
  3. By integrating AI with traditional medical-conditions knowledge, FactsR serves as an invaluable tool for clinicians and healthcare administrators, generating structured reports summarizing each consultation, providing actionable instructions for follow-up care, and improving the quality of care delivered across high-volume consultations through consistent guidance and the offloading of reasoning and pattern-recognition tasks to the system.

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