MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621068631 A) filed by Rahul Pitale on June 01, 2026, for Distributed Graph-Coloring Based Task Orchestration For Real-Time Hospital Emergency Response System.
Inventors include Kapil Tajane; Amey Ajit Jadhav; Yuvraj Ravindra Khade; Vineet Nandbodhi Salve; and Atharva Ashutosh Walzade.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present disclosure relates to a distributed hospital task orchestration system and method for real-time emergency response management within healthcare edge computing environments. The invention addresses the challenge of coordinating large volumes of heterogeneous healthcare computational tasks generated by medical devices, patient monitoring systems, alarm systems, electronic health record platforms, imaging systems, and bedside telemetry infrastructure during high-load emergency conditions. The proposed system comprises multiple distributed hospital edge computing nodes deployed across clinical zones including emergency departments, intensive care units, operating rooms, nursing stations, and patient monitoring areas. A task ingestion engine receives healthcare computational workloads and constructs a conflict graph in which tasks are represented as vertices and execution conflicts are represented as graph edges. Conflicts may include resource contention, timing conflicts, device access conflicts, and execution dependency conflicts. A clinical urgency classification engine assigns urgency levels to tasks based on patient severity, physiological threshold violations, emergency alarm classifications, treatment priorities, and hospital code status. A weighted distributed graph- coloring scheduler performs urgency-aware graph coloring to generate independent execution sets while ensuring that conflicting tasks are not executed simultaneously. Safety- critical tasks are isolated into dedicated execution classes to ensure deterministic execution of life-critical hospital operations independent of routine background processing. The system further includes an incremental graph maintenance engine capable of dynamically updating graph topology in response to patient admissions, discharges, transfers, and device connectivity changes without requiring complete graph reconstruction or recoloring. A distributed orchestration communication layer enables neighboring edge nodes to exchange localized scheduling information without dependence on a centralized scheduling coordinator, thereby improving fault tolerance and operational continuity during node failures or network disruptions. The disclosed framework enables low-latency, conflict-free, urgency-prioritized execution of emergency medical workloads while supporting scalable and resilient hospital edge computing operations.
Disclaimer: Curated by HT Syndication.
