Johns Hopkins Medicine Adds NLU Capabilities

Oct. 24, 2012
Johns Hopkins Medicine, a large integrated healthcare provider based in Baltimore, has extended its agreement with the Franklin, Tenn.-based clinical documentation provider, M*Modal, announcing it will implement M*Modal’s Natural Language Understanding (NLU) technology across all of its health facilities, while also bringing on new transcription services.

Johns Hopkins Medicine, a large integrated healthcare provider based in Baltimore, has extended its agreement with the Franklin, Tenn.-based clinical documentation provider, M*Modal, announcing it will implement M*Modal’s Natural Language Understanding (NLU) technology across all of its health facilities, while also bringing on new transcription services.

The NLU technology, according to M*Modal, will help Johns Hopkins manage transcription workloads, maximize throughput, and maintain consistent standards for quality across all sources of each provider's captured narrative. Meanwhile, the transcription services, which are already present at the Johns Hopkins Hospital and Johns Hopkins Bayview Medical Center, will expand to other Johns Hopkins facilities.

Sponsored Recommendations

Six Cloud Strategies to Combat Healthcare's Workforce Crisis

The healthcare workforce shortage is a complex challenge, but cloud communications offer powerful solutions to address it. These technologies go beyond filling gaps—they are transformin...

Transforming Healthcare with AI Powered Solutions

AI-powered solutions are revolutionizing healthcare by enhancing diagnostics, patient monitoring, and operational efficiency - learn how to integrate these innovations into your...

Enhancing Healthcare Through Strategic IT and AI Innovations

Learn how strategic IT and AI innovations are transforming healthcare - join Tomas Gregorio as he explores practical applications that enhance clinical decision-making, optimize...

The Intersection of Healthcare Compliance and Security in the Age of Deepfakes

As healthcare regulations struggle to keep up with rapid advancements in AI-driven threats like deepfakes, the security gaps have never been more concerning.