November 27, 2011 –peerVue introduces sophisticated voice recognition (VR) and reporting to its qualitative intelligence and communications system (QICS). The new feature—the first ever free radiology VR application—is based on a custom-developed radiology language model for the Microsoft speech engine API. It makes QICS a truly unique and robust platform, which complements picture archiving and communications systems (PACS) and radiology information systems (RIS), to fully automate radiology workflow, communication and report creation—from critical results, resident over reads and emergency room discrepancy management to radiation dose tracking—while supporting continuous departmental improvements and maximizing revenue.
The QICS VR engine, based on the free and widely available Microsoft API engine, will be easy to use, maintain and upgrade. In addition to its proprietary radiology language model, the new embedded VR system includes an automated method for ensuring ongoing recognition accuracy for individual users. It features advanced profile management with instantaneous web availability to ensure that users enjoy highly accurate speech recognition from any location. QICS VR also supports Philips SpeechMike III, customizable and outbound HL7, with other system compatibility to be introduced shortly.
Designed to bridge the gaps inherent in the multiple healthcare information systems in use today, QICS transforms existing healthcare data into qualitative intelligence used to drive an unlimited range of hospital workflows. It eliminates the need for workarounds in existing systems and an array of costly, standalone niche systems that fulfill unmet functionalities beyond the scope of HIS, RIS and PACS. Now, with QICS, even VR will be made seamlessly and universally available for functions from wet reads to critical results findings and inter-and cross-department communications. In short, the entire array of radiology department written communications will now become VR-enabled with no need to purchase, integrate, administer support or maintain a separate application.
As part of its automated workflow and closed loop communications, QICS now brings the efficiency of dictation and voice recognition into a wide range of complex, multi-step radiology workflows such as the process of resident over reads and emergency department (ED) exam finalization. The QICS rules engine, for example, can be configured to notify residents when a new ED-dictated report is added to the system. While maintaining the report’s prelim status, a resident can use the integrated VR to recognize the dictation and make it available to both the ED and an attending for subsequent over read. The attending can edit the report using the built-in VR system as needed, finalize it in a single click and send it to the appropriate IT application. Any reporting discrepancies will be recorded in the QICS for communication to the ED and for QA tracking.
peerVue debuted QICS at RSNA 2010 and ushered in a new category of healthcare workflow management and communications systems. Already, the peerVue platform been embraced by more than 100 institutions worldwide, including luminary organizations like Parkland Memorial Hospital, Regional Medical Imaging, South Jersey Radiology Associates and Multicare. It is also distributed globally by industry leading RIS and PACS providers.
For more information: www.peerVue.com