FRANKLIN, Tenn.--(BUSINESS WIRE)--M*Modal (MModal Inc. – NASDAQ/GS: MODL), a leading provider of clinical documentation services and Speech Understanding™ technologies, today announced that Duke University Health System (DUHS) has selected the Company’s cloud-based Speech Understanding™ technology to support the rollout of its Epic electronic health record (EHR). The technology will be made available to more than 1,000 inpatient and ambulatory care physicians upon the EHR’s implementation.
Once fully deployed, M*Modal’s technology will enable physicians throughout the enterprise to efficiently capture the patient’s complete clinical story and extract meaningful, actionable information to populate the Epic EHR. As a result, providers across the continuum of care will have access to comprehensive and highly contextual intelligence that supports effective clinical decision making and further strengthens the organization’s research environment.
“Our primary commitment to providing optimal care to patients throughout Duke University Health System includes the need to support our providers with superior clinical documentation tools,” said Art Glasgow, Chief Information Officer, Duke University Health System. “We’re confident that this technology will effectively support our system-wide implementation of an electronic health record by providing more options for providers to efficiently capture critically important information and leverage this data for improved care decisions.”
Built on its cloud-based enterprise documentation platform, M*Modal’s Speech Understanding technology alleviates difficulties associated with standard point-and-click templates by allowing providers to use their voice, in addition to keyboard and mouse, to document care and navigate clinical applications. The technology automatically converts the narrative into structured and encoded information, augmenting discretely captured data with meaningful information that drives improvements in care.
M*Modal’s technology also allows users to search and share massive amounts of encoded narrative and structured information, promoting clinical discovery and supporting ongoing research initiatives throughout the enterprise.
“We are excited to partner with Duke and its world-renowned clinical staff,” said Vern Davenport, Chairman and CEO of M*Modal. “As we continue our work with luminary institutions, the collaboration with Duke presents a unique opportunity to further innovate the capture and use of all clinical documentation originating from speech, driving meaningful improvements in care and physician productivity.”
About M*Modal
M*Modal (NASDAQ/GS: MODL) is a leading provider of clinical narrative capture services, Speech Understanding™ technology and clinical documentation workflow. M*Modal’s enterprise solutions – including mobile voice capture devices, speech recognition, Natural Language Understanding, Web-based workflow platforms and global network of medical editors – help healthcare facilities facilitate adoption of electronic health records (EHR), transition to ICD-10, improve patient care, increase 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 about our expectations regarding our future business 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.