Advancements in materiovigilance: A comprehensive overview

Abstract

Patient safety is crucial while using medical equipment, which is, therefore, strong risk management and monitoring systems such as materiovigilance are required. Through international cooperation and technical improvements, this field which focuses on identifying and resolving adverse occurrences related to medical devices has developed. By facilitating real-time data analysis and the early detection of safety issues, as well as by enhancing patient outcomes and regulatory compliance, the combination of artificial intelligence and machine learning has greatly improved materiovigilance. The Materiovigilance Programme of India attempts to improve the infrastructure for medical device monitoring in underdeveloped nations like India, in spite of obstacles including poor data quality and infrastructure. To improve the security and efficacy of medical devices, engineers, regulators, healthcare practitioners, and technology companies must continue to collaborate. To protect public health and safety, materiovigilance will increasingly rely on advanced technologies and strict adherence to regulations.

Keywords: Adverse events; artificial intelligence; materiovigilance; medical device; patient safety.

Figure 1

Communication under the Materiovigilance Programme of India[2]