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M*Modal announced that the company and Community Health Network (CHNw) are collaborating to transform the patient-physician experience while improving provider and clinician satisfaction and care quality.
M*Modal announced that several large U.S. health systems have adopted its cloud-based artificial intelligence (AI) platform to support next-generation electronic health record (EHR) workflows and reduce the administrative burden on doctors. These solutions work independently or are deeply embedded in the EHR by leveraging M*Modal technology to improve the quality of patient care and the clinical note.
M*Modal announced that its clinical intelligence platform has been broadly embraced by physicians in over 150 sites since the launch of the application in 2015. The solution includes Computer-Assisted Physician Documentation (CAPD), augmenting its M*Modal Fluency Direct to deliver automated, real-time and interactive insights to clinicians as they document in the electronic health record (EHR) for continuous improvement in how doctors care for their patients.
November 25, 2015 — M*Modal will showcase improvements to its Fluency for Imaging reporting suite at RSNA 2015. M*Modal ...
M*Modal announced Computer-Assisted Physician Documentation (CAPD) real-time feedback capabilities for its M*Modal Fluency for Imaging Reporting software.
May 12 2014 — M*Modal announced enhancements to its Fluency Flex Mobile dictation application for iOS 6.0+ devices. Moving beyond the capture of clinical notes during patient encounters to more robust clinical documentation, the new application allows physicians to select a patient from their appointment schedule to quickly and accurately record clinical notes, improving ease of use and productivity.
M*Modal, a provider of clinical documentation services and Speech Understanding solutions, announced a medical dictation application for iPhone mobile digital devices, expanding the company’s mobility solutions. The M*Modal Fluency Flex Mobile application lets doctors quickly and accurately record clinical notes during patient encounters for easy integration with electronic health record systems (EHRs), increasing physician productivity and documentation quality.
Reporting is one of the areas in medical imaging informatics that has advanced the most in recent years. With much of the imaging workflow now digitized and carried out through second-, if not third-generation image and information management systems such as picture archiving and communication systems (PACS) or radiology information systems (RIS), the ”third pillar” of the end-to-end digital imaging workflow has grown less isolated and more influential than ever before — signaling the advent of true voice-enabled and speech-driven radiology reporting.