Frame Semantic Patterns for Identifying Underreporting of Notifiable Events in Healthcare: The Case of Gender-Based Violence
PositiveArtificial Intelligence
A new methodology has been introduced to identify notifiable events in healthcare, specifically focusing on the underreporting of gender-based violence (GBV) in e-medical records. By utilizing semantic frames to define detailed patterns, this approach aims to enhance the accuracy of data collected during patient visits to primary care units. This is significant as it addresses a critical issue in healthcare, ensuring that GBV cases are properly documented and managed, ultimately leading to better support for affected individuals.
— Curated by the World Pulse Now AI Editorial System


