Zetaris unveils AI tool to revolutionise healthcare data use
Zetaris has 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, the Founder and CEO of Zetaris, described the new solution as transformative for patient care. "This innovative solution transforms patient care by connecting healthcare systems, enabling medical specialists to provide better treatment through seamless data sharing and real-time collaboration," he stated.
The AI Clinical Assistant employs data-driven RAG technology, designed for mature AI applications, to automate routine tasks. This automation is intended 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 emphasised its secure nature, stating, "The AI Clinical Assistant delivers compassionate, human-like interactions connecting all types of disparate healthcare systems and patient data securely."
The AI Clinical Assistant leverages secure historical patient data combined with current diagnostic information to provide comprehensive information to medical teams, aiming to enhance decision-making without the need for manual data retrieval and analysis.
Vinay Samuel further explained the benefits, saying, "Secure historical patient healthcare records and healthcare systems data are combined in Zetaris to power the brain for the AI Clinical Assistant, ensuring medical teams do not have to search, retrieve and analyse data manually."
The automated system seeks to reduce time spent by healthcare providers in gathering patient history, enabling rapid synthesis of comprehensive patient data to inform healthcare decisions.
Illustrating the functionality, the system is capable of integrating structured and unstructured data, such as a patient's travel history, to support clinicians during triage processes. For example, if a patient with a cardiac history arrives at an emergency department, the AI Clinical Assistant can process relevant vitals and medical history to assist in 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 delighted to be launching this innovative solution that will recolonise the future of healthcare in America and globally."
Previous initiatives by Zetaris, such as the Healthcare Data for Artificial Intelligence (AI) Studio and the Zetaris Healthcare Studio, have set a precedent for enhancing patient and clinician experiences through AI-ready environments designed for advanced clinical and research outcomes.
The company asserts that its AI hub can empower clinicians and healthcare providers, enhance decision-making capabilities, and lead to improved patient outcomes. In the context of emergency care, AI and machine learning could help prioritise patient treatment. In life sciences and lab work, AI-driven data integration is expected to accelerate solutions for chronic disease and support collaborative insights.
