Healthcare ecosystems connect patients, healthcare professionals, and other stakeholders, facilitating the exchange of information through systems like electronic health records (EHRs), radiology reports, and lab results. However, benefitting from these vast amounts of information managed within these ecosystems proves challenging for different participants.
Healthcare professionals often face time constraints when required to get an overview of a patient’s history or to interpret information from clinical documents impeding their ability to quickly make informed decisions. Simultaneously, patients struggle to comprehend medical and clinical information due to varying levels of health literacy, making it difficult for them to fully understand their health status or treatment options. These challenges can result in suboptimal decision-making, misunderstandings, thus leading to an additional burden on the healthcare system.
AID-CC’s solution – a hybrid AI dialogue system for the healthcare sector – sets new standards by combining the strengths of large language models (LLMs) with symbolic reasoning components in dialogue systems. Unlike conventional systems that suffer from hallucinations or biases, our system provides more precision, reliability, and transparency, thus enabling reasoning capabilities for informed decision making. By integrating this innovative service into existing healthcare infrastructures, we enhance access to high-quality and personalized health information for both healthcare professionals and patients. Additionally, the implementation of this solution strengthens the technological sovereignty of existing healthcare ecosystems by seamlessly integrating modern AIpowered systems into their infrastructures. This allows them to maintain full control over patient data and processes without relying on external service providers or platforms.
