MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124478 A) filed by St. Joseph'S Institute Of Technology; Jetlin C P; Priyadharshini J; Monica S; Mohamed Dhaha M; and Mohitha R on October 17, 2026, for Medico Assistant: An Ai Driven Multi Modal Triage Bot.

Inventors include St. Joseph'S Institute Of Technology; Jetlin C P; Priyadharshini J; Monica S; Mohamed Dhaha M; and Mohitha R.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: Lack of adequate medical and human resources often leads to major issues in emergency department (ED) triage, resulting in patients being prioritized incorrectly and the ED becoming overcrowded. Traditional triage systems rely on static assessments and manual processes, which can be susceptible to biases and errors, potentially compromising the care of high-priority patients and aggravating existing systemic issues. This research proposes the development of an AI-driven "Medico Assistant" to transform ED triage by implementing an automated, data-driven strategy for patient distribution in emergency situations. The novel approach integrates the use of real-time multi-modal data, synthesizing information from several key sources: Electronic Health Records (EHR), unstructured clinical notes, ambient sensor data, and patient-reported symptoms. This rich data is processed using a refined deep learning architecture (including 1D CNN, LSTM, GRU, and BERT/BioBERT) via a multi- modal fusion engine. The system's main aim is to create a dynamic triage scoring system that can continuously adapt to varying patient states and the evolving availability of ED resources. A critical component of the system is the Explainable AI (XAI) module, which furnishes coherent explanations of its findings and personalized, frugal suggestions. This capability is essential for building trust and allowing clinicians to interpret and validate the AI's recommendations. By enhancing triage accuracy and efficacy, the Medico Assistant aims to enable early critical interventions, fast-track resource usage, and ultimately improve patient outcomes in stretched clinical environments.

Disclaimer: Curated by HT Syndication.