MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050653 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for patient flow optimization and clinical decision support using machine learning.'
Inventor(s) include Suvarna P; Shanma E; Sivayogana R; Dhanalakshmi S; Aarthi A; Asha Rani G; Anitha J; Leka H; Jerose Rani D; and Baskaran Kuppusamy.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Patient Flow Optimization and Clinical Decision Support Using Machine Learning This disclosure is about a system and method that use hybrid digital twin modeling, edge-based resource sensing, and constraint-aware deterministic processing to improve patient flow and help doctors make decisions. The system combines several sensing devices to get real-time information about where patients are, what resources are available, and where staff are moving. An edge processing unit then processes this data to make it faster. A digital twin modeling engine makes a virtual model of how a hospital works that changes over time, which lets you watch and analyze things in real time. A constraint-aware deterministic decision engine uses pre-set clinical and operational rules to figure out the best way to route patients, allocate resources, and schedule workflows. A predictive flow stabilization module finds places where traffic is likely to get stuck and moves resources around to avoid them. The system also helps doctors make decisions by linking patient medical data to operational parameters. The integrated architecture makes operations more efficient, cuts down on patient wait times, and makes sure that healthcare workflow management is reliable, easy to understand, and able to grow."
Disclaimer: Curated by HT Syndication.
