Zetaris introduced its AI Clinical Assistant, which aims to automate the use of patient data to facilitate faster and more accurate diagnoses and treatments.
Vinay Samuel, founder and CEO of Zetaris, described the new solution as revolutionary for patient care. “This innovative solution transforms patient care by connecting healthcare systems, enabling medical specialists to provide better treatments through transparent data sharing and real-time collaboration,” he said.
The AI Clinical Assistant uses data-driven RAG technology, designed for mature AI applications, to automate routine tasks. This automation aims to enable healthcare providers to deliver services more accurately and quickly, thereby improving healthcare outcomes.
The AI clinical assistant promises to facilitate human-like interactions while integrating various healthcare systems and securely managing patient data. Vinay Samuel highlighted its secure nature, saying, “The AI clinical assistant provides compassionate and human-like interactions, securely connecting all types of disparate healthcare systems and patient data. »
The AI clinical assistant leverages secure historical patient data combined with current diagnostic information to provide comprehensive insights to medical teams, aiming to improve decision-making without the need for manual data retrieval and analysis.
Vinay Samuel further explained the benefits by saying, “Secure historical patient health records and health systems data are combined in Zetaris to power the brain of the AI clinical assistant, ensuring that medical teams do not do not have to search, retrieve and analyze data manually.
The automated system aims to reduce the time healthcare providers spend collecting patient histories, enabling rapid synthesis of comprehensive patient data to inform healthcare decisions.
Exemplifying the functionality, the system is capable of integrating structured and unstructured data, such as a patient’s travel history, to assist clinicians during triage processes. For example, if a patient with a cardiac history arrives in the emergency room, the AI clinical assistant can process relevant vital signs and medical history to facilitate treatment decisions.
Reflecting on the development and potential impact of this solution, Samuel commented: “This achievement highlights our commitment to improving healthcare through AI and is the culmination of many years of work. We are excited to launch this innovative solution that will recolonize the future of healthcare in America and around the world.
Previous Zetaris initiatives, such as the Healthcare Data for Artificial Intelligence (AI) Studio and the Zetaris Healthcare Studio, have set a precedent in improving patient and clinician experiences with AI-ready environments designed to advanced clinical and research results.
The company says its AI hub can empower clinicians and healthcare providers, improve decision-making capabilities and lead to better patient outcomes. In the context of emergency care, AI and machine learning could help prioritize patient treatment. In life sciences and laboratory work, AI-driven data integration is expected to accelerate solutions for chronic diseases and support collaborative knowledge.
