M*Modal Selected by United Hospital System for Best-in-Class Clinical Documentation

Medical Solutions Provider Offers M*Modal Fluency Solutions to Healthcare Customers

Franklin, TN – July 19, 2012 – M*Modal (NASDAQ/GS: MODL), a leading provider of clinical documentation and Speech Understanding solutions, today announced United Hospital System has selected the M*Modal Fluency™ family of cloud-based solutions to deliver advanced clinical documentation to its Health System and physicians. As part of the agreement, United Hospital System will roll out M*Modal Fluency Direct™, M*Modal Fluency for Transcription™ and M*Modal Fluency for Imaging™ to its facilities across Wisconsin and northern Illinois.

“We are proud to be selected by United Hospital System to deliver industry-leading clinical documentation solutions to two Hospital Campuses and all regional facilities,” said Vern Davenport, Chairman and CEO, M*Modal. “Our cloud-based technology combined with United Hospital System’s reputation for providing superior and compassionate patient service in the clinical setting will allow them to continue to be a preferred partner of physicians in its region.”

United Hospital System had been using an aging voice capture and transcription platform and was seeking advanced technology that included speech recognition and understanding to improve productivity of in-house transcriptionists while boosting physician adoption and EHR usability. After conducting a diligent search, United Hospital System determined that M*Modal’s Fluency for Transcription would help deliver an exceptional portfolio of technology solutions and transcription services that would help document optimal patient care, improve financial performance and meet the business objectives for all of its facilities.

“M*Modal Fluency Direct voice-enables our electronic health record improving the accuracy of clinical outcomes documentation using the power of the physician’s spoken word,” said Toni Kuehl, Director, United Hospital System. “Because of its usability, the technology is able to complement physician workflow and give doctors time back in their day to focus on patients. The M*Modal Fluency Direct solution will assist our physicians in creating a higher quality clinical document with instant turnaround time.”

In addition, the M*Modal Fluency for Imaging application will offer United’s radiologists intuitive technology through speech-driven diagnostic reporting allowing conversational speech for enhanced ease of use, improved accuracy and greater user satisfaction. Structured reporting and integrated productivity tools allow faster creation and turnaround of diagnostic imaging interpretations. Physician dictation is transformed into electronic documents that are structured, clinically encoded, searchable, and shareable.

Announced in May, M*Modal Fluency is a line of cloud-based clinical solutions for dictation capture, speech recognition editing and document distribution to optimize clinical information workflow, speed up the revenue cycle, help achieve HIPAA and regulatory compliance, as well as help meet Meaningful Use and electronic health record requirements.

For more information on M*Modal please visit www.mmodal.com or follow on Twitter @MModal.

About United Hospital System
United Hospital System is a comprehensive regional healthcare system that has served southeastern Wisconsin and northern Illinois communities for more than 100 years. United Hospital System provides services primarily through the Kenosha Medical Center Campus and the St. Catherine’s Medical Center Campus and several other clinic locations. For more information, visit http://www.uhsi.org.

About M*Modal
M*Modal (NASDAQ/GS: MODL) is a leading provider of clinical transcription services, clinical documentation workflow solutions, advanced cloud-based Speech Understanding™ technology, and advanced unstructured data analytics. Recognized as the largest clinical transcription service in the U.S. with a global network of medical editors, M*Modal also offers voice to text solutions to capture the complete patient story, codifies the doctor’s narrative to automatically populate EHRs and other key healthcare information systems, delivers computer-assisted coding to support ICD-9 and the transition to ICD-10, and provides highly advanced analytical tools for exploring the richness within the “unstructured” narrative for improvements in quality of care, greater physician satisfaction and lower operational costs. For more information, please visit www.mmodal.com, Twitter, Facebook and YouTube.

Forward-Looking Statements
Information provided and statements contained in this press release that are not purely historical, such as statements regarding our expectations regarding our future business plans are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. Such forward-looking statements only speak as of the date of this press release and the Company assumes no obligation to update the information included in this press release. Statements made in this press release that are forward-looking in nature may involve risks and uncertainties. Accordingly, readers are cautioned that any such forward-looking statements are not guarantees of future performance and are subject to certain risks, uncertainties and assumptions that are difficult to predict, including, without limitation, specific factors discussed herein and in other releases and public filings made by the Company (including filings by the Company with the Securities and Exchange Commission). Although the Company believes that the expectations reflected in such forward-looking statements are reasonable as of the date made, expectations may prove to have been materially different from the results expressed or implied by such forward-looking statements. Unless otherwise required by law, the Company also disclaims any obligation to update its view of any such risks or uncertainties or to announce publicly the result of any revisions to the forward-looking statements made in this press release.

Comments are closed.