M*Modal Drives In-Workflow AI Innovation

FRANKLIN, TN–(Marketwired – November 27, 2017) – M*Modal, a leading provider of clinical documentation and Speech Understanding™ solutions, today announced that it is further leveraging its advanced artificial intelligence (AI) technology to deliver a smarter reporting workflow for radiologists and improved clinical outcomes for patients. Driving market-leading innovation, M*Modal further distinguishes its radiology reporting solution by bridging the gap between image interpretation and reporting with unique applications of its cognitive technology.

Going beyond delivering clinical insights to the radiologist directly in the reporting workflow, M*Modal also contextually understands information in the background as the radiologist reads the image. These cognitive insights are then directly populated into the radiology report, which the radiologist can quickly review and finalize for a revolutionized user experience. M*Modal is showcasing these innovations at the 2017 RSNA Annual Meeting (booth # 1916, South Hall A) till November 30.

To enable radiologists to demonstrate and deliver optimal value to the patient care team, M*Modal’s AI-powered solutions are designed to consistently improve the quality, efficiency and timeliness of the radiology report. Enabling collaborative intelligence throughout the care continuum, M*Modal leverages deep integrations with PACS, RIS, EHRs and other IT systems to break workflow silos. The goal is to help radiologists more efficiently and accurately detect, diagnose, monitor and communicate findings.

To that end, M*Modal now seamlessly extends its proprietary Speech Understanding technology, which is a unique blend of speech recognition and natural language understanding technologies, to the PACS desktop in a unified workflow. With this industry first, M*Modal enables dictation directly into the PACS so that radiologists do not have to toggle between two systems and can instead focus on just the image. The contextually-aware M*Modal system automatically populates this information — AI-generated clinical insights, the radiologist’s annotations to the image, anatomical description, etc. — directly into the final report.

“We are committed to accelerating AI innovation in order to quickly provide radiologists with the right tools they need to work smarter not harder, and to help them succeed in an increasingly challenging environment,” said Michael Finke, President of M*Modal. “By delivering contextually-relevant and high-value clinical insights directly in the radiology report for final review, we ensure that we enhance and not slow down the reporting workflow, thereby creating time to care.”

With such an integrated system that leverages meaningful AI advancements, M*Modal drives the consistent creation of higher-quality reports while supporting the timely and optimal management of disease. M*Modal imaging informatics solutions can help:

• Bring next-generation automation directly in the reporting workflow by populating the final report with context-specific insights even if they are generated in other systems.
• Proactively address gaps in reporting and variance in patient care with broadly-adopted Computer-Assisted Physician Documentation (CAPD) that delivers in-workflow cognitive insights.
• Deliver diagnostic decision support right within the reporting workflow to drive efficiency, quality and outcomes.
• Minimize error-prone manual processes, improve efficiencies, and completely transform the radiologist’s reporting experience.

About M*Modal

M*Modal is a leading healthcare technology provider of advanced clinical documentation solutions, enabling hospitals and physicians to enrich the content of patient electronic health records (EHR) for improved healthcare and comprehensive billing integrity. As one of the largest clinical transcription service providers in the U.S., with a global network of medical editors, M*Modal also provides advanced cloud-based Speech Understanding^™ technology and data analytics that enable physicians and clinicians to include the context of their patient narratives into electronic health records in a single step, further enhancing their productivity and the cost-saving efficiency and quality of patient care at the point of care. For more information, please visit https://mmodal.com, Twitter, Facebook and YouTube.