MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541130005 A) filed by S. Pravin Kumar; M. N. Gokulavanisri; V. Vikash; L. Amulthara; S. Sridhar; C. Sugavanam; M. Deepak Kumar; G. Poonguzhali; S. Sivadharshini; and P. Priyadharshini, Salem, Tamil Nadu, on Dec. 22, 2025, for 'medical equipment using iot data and medicine learning analytics.'
Inventor(s) include S. Pravin Kumar; M. N. Gokulavanisri; V. Vikash; L. Amulthara; S. Sridhar; C. Sugavanam; M. Deepak Kumar; G. Poonguzhali; S. Sivadharshini; and P. Priyadharshini.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Medical equipment dependability is critical for guaranteeing continuous healthcare services and patient safety. Traditional maintenance procedures, such as reactive and preventative maintenance, often fail to detect unanticipated equipment breakdowns, resulting in 5 operational interruptions and financial losses.A predictive maintenance system that uses Internet of Things (IoT) data and machine learning (ML) analytics to monitor and repair medical equipment proactively. IoT-enabled sensors capture real-time data on operating characteristics such as temperature, vibration, use cycles, and other vital variables to determine the equipment's health state. Machine learning algorithms, like as classification 10 and regression models, examine this data to find abnormalities, forecast probable breakdowns, and prescribe appropriate maintenance measures. The suggested solution increases equipment uptime, optimises maintenance schedules, lowers operating costs, and protects patients by averting unexpected malfunctions. By employing data-driven insights, healthcare facilities may take a proactive approach to medical equipment maintenance, 15 shifting from old reactive techniques to a more efficient, intelligent, and predictive framework."
Disclaimer: Curated by HT Syndication.
