LEO by Healthcare CoPilot is a cutting-edge network of AI agents designed to streamline clinical processes and reduce administrative burdens. Our solution ensures referrals are complete, appropriate, and efficiently managed.
Semi-Autonomous Processing
Contextual Analysis
Continuous Quality Improvement
Human-in-the-Loop Approach
LEO leverages cutting-edge AI and hyper-automation technologies to streamline referral management and clinical processes. By utilising AI-driven insights and automation, LEO significantly reduces the administrative burden on healthcare professionals, allowing them to focus on patient care.
LEO is designed to seamlessly integrate with existing healthcare systems, ensuring a smooth transition and enhanced interoperability within the healthcare infrastructure. Integration capabilities include:
LEO has successfully completed the NHS England Assurance process for the following NHS APIs:
To ensure the highest standards of data privacy and security, LEO aligns with industry-leading certifications and standards:
LEO understands the context of each referral, incorporating local healthcare guidelines, quality indicators, and Index of Multiple Deprivation (IMD). This ensures comprehensive and accurate evaluations of each referral.
Using advanced large language models, LEO extracts critical entities from referral documents and summarises patient histories. This provides a concise yet comprehensive overview, enabling quicker and more informed decision-making by healthcare professionals.
LEO utilises graph-based memory and vector search technologies to ground its language models. This ensures consistent, accurate outputs and improves the AI’s understanding of complex patient histories and referral pathways.
LEO provides continuous real-time audits and insights into referral patterns. This data-driven approach facilitates continuous quality improvement, helping healthcare providers identify areas for improvement and design targeted interventions.
LEO offers valuable feedback and insights to general practitioners (GPs) to improve their referral decisions. This educational aspect supports GPs in refining their practices and contributing to continuous quality improvement.
To ensure LEO's AI-generated insights are accurate, reliable, and ethically compliant, we follow rigorous protocols: testing with clinical scenarios, comparing with historical data, and involving expert reviews across disciplines. LEO is also assessed with rare and complex cases, tested against medical myths, and evaluated in real-world environments.
Our protocols align with the following framework, ISO14385 and ISO14971.
Bragazzi N, Garbarino S
Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3:e55957
URL: https://ai.jmir.org/2024/1/e55957
DOI: 10.2196/55957
We offer affordable and flexible pricing plans tailored to meet the needs of different organisations.
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