RadWhere™ for Radiology is a front-end speech recognition solution for academic centers, hospitals, and imaging centers with unique workflow, data-driven reporting, and communication needs.

At RadWhere’s core is the latest in structured speech recognition technology optimized specifically for the radiology domain. In addition, RadWhere for Radiology offers industry-leading diagnostic imaging workflow management. Reports are created with a variety of dictation styles, peer review is integrated into the process, content is accessed with ease, and critical messages are created, delivered and audited seamlessly. What’s more, RadWhere provides data extraction tools necessary for analyzing productivity and outcomes.

RadWhere for Radiology offers industry-leading radiology workflow management. Designed to address the needs of healthcare networks with multiple RIS, PACS, 3D, and teleradiology systems, RadWhere Workflow Orchestrator seamlessly integrates these elements into a single worklist for the radiologist.

Through the use of unrestricted Boolean logic, worklists and sections, RadWhere for Radiology can launch an unlimited number of legacy and web-based PACS viewers while intelligently returning orders to the appropriate RIS system from a single workstation.

RadWhere also provides substantial benefits for facilities that do not need the robust capabilities of multi-system workflow management. It drives RIS/PACS workflow in a single environment or can allow a third party system to handle order lists, routing, editing and electronic signature workflow.

RadWhere for Radiology offers four dictation styles plus digital dictation to accommodate physician preferences:

• Real-Time Speech Recognition with Self Editing — “Once and done” real-time speech recognition allows radiologists to view text as it is dictated. They can edit using keyboard, mouse, and standard word processing tools, or with voice editing—voice commands and microphone controls to navigate and correct the document. Radiologists also have the option of hands-free dictation—using a USB headset and foot pedal. The software immediately recognizes spoken changes and additions anywhere in the report.
• Real-Time Speech Recognition with Auto-Loading Templates — Templates offers radiologists the ability to maximize efficiency. Templates are categorized/mapped to procedure codes and are triggered by modifiers such as age and gender. Auto-loading normals are established for every exam which accommodates site-wide structured defaults and/or individual defaults. Users can voice navigate standard text blocks which are fully voice editable.
• Real-Time Speech Recognition with Auto-Structured Reporting — Auto-structured reporting eliminates the need for the radiologist to follow the structured format of a macro. Natural language understanding (NLU) and processing algorithms automatically structure positive report content.

  The radiologist dictates the necessary abnormal statements and the RadWhere for Radiology applications’ logic assigns individual findings to the appropriate report fields. Once complete, the application presents the interpreting radiologist with a final report for review and edit.

  This intelligent phrase recognition and automatic organization tool can greatly reduce the time spent using conventional structured macros.

• Real-Time Speech Recognition with Transcriptionist Editing — A combination of front-end speech recognition with transcription edit workflow. Transcriptionists have the ability to associate orders, add text and audio notes, set priorities and more. Reports may be created using speech recognition and any of the above reporting styles or through a built-in digital dictation interface.

Radiologists may create digital reports consisting only of audio and send to transcription for transcribing. Radiologists may set priority and attach speech recognized or audio only notes.

RadWhere for Radiology represents the next step in the expansion of the Dictaphone family of radiology solutions, offering multi-site, multi-RIS/PACS workflow in a closed-loop environment.