News | PACS Accessories | October 01, 2018

The M*Modal EHR-integrated conversational artificial intelligence (AI) platform offers virtual provider assistants

October 1, 2018 — 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.

The following are a few of the healthcare organizations that have chosen the M*Modal platform to drive outcomes in inpatient and ambulatory care settings:

Owensboro Health: Having partnered with M*Modal for the company’s AI-powered speech platform with integrated CDI (Clinical Documentation Improvement) solutions, Owensboro Health is focused on supporting its physicians with smarter documentation tools. “M*Modal’s demonstrated higher performance in our Citrix environment, commitment to innovation and true partnership, and development relationship with Epic were critical to our decision making,” said David Danhauer, M.D., CMIO of Owensboro Health, Owensboro, Ky. “Additionally, M*Modal Computer-Assisted Physician Documentation (CAPD) is a game changer, seamlessly engaging our physicians early in the process with proactive clinical insights delivered at the point of care.”

Spectrum Health: Upgrading from competitive products, Spectrum Health teamed up with M*Modal to implement a unified and progressive documentation strategy for enterprise-wide impact on patient care delivery. “We are pleased to innovate with M*Modal and Epic by piloting Epic’s Haiku Voice Assistant powered by M*Modal’s leading-edge speech and AI technology, which is extremely important to a successful functioning assistant,” said James Schweigert, M.D., CMIO of Spectrum Health, Michigan. “With this, we move toward an increasingly ambient physician documentation experience so that doctors can more naturally and easily interact with both the patient and the patient record, improving both patient and physician satisfaction.”

WVU Medicine West Virginia University Health System: To progress from legacy voice recognition to an innovative clinical documentation platform, WVU Medicine chose M*Modal to drive EHR adoption with a solution suite that would reduce the administrative burden on over 1,500 physicians. “We have achieved significant adoption of speech recognition in our hospitals and affiliated clinics in a very short time. The M*Modal real-time natural language understanding (NLU) technology improves chart documentation by bringing CDI to the front-end physician workflow in Epic,” said David Rich, M.D., CMIO of WVU Medicine. According to Eric Lowden, M.D., OB/GYN specialist at WVU Medicine, M*Modal also delivers noteworthy value in the ambulatory care setting: “M*Modal Fluency Direct has been transformational for EMR documentation in my practice, without question improving workflow efficiency and productivity.”

Yale New Haven Health: Partnered with M*Modal for AI-powered front-end speech with transcription and virtual scribing services as well as CDI and HCC (Hierarchical Condition Category) management solutions, Yale New Haven Health is exploring several enterprise-wide clinical applications of the M*Modal EHR-integrated technology. “M*Modal is a great partner, who brings continuous innovation to both our front-end and back-end processes through one technology platform,” said Allen Hsiao, M.D., CMIO of Yale New Haven Health. “M*Modal remote scribes working within Epic help us pave the way to a totally automated virtual assistant using conversational AI. We’ve also integrated M*Modal NLU technology with Epic’s Slicer Dicer to help researchers identify patient populations from data which can only be found in clinical free text."

For more information: www.mmodal.com


Related Content

News | Prostate Cancer

July 9, 2025 — Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer ...

Time July 09, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

July 2, 2025 — Philips has received FDA 510(k) clearance for SmartSpeed Precise[1] MR’s latest deep learning ...

Time July 03, 2025
arrow
News | Ultrasound Imaging

July 1, 2025 — UPDATE: The final paper is now available at: JMIR AI - ChatGPT-4–Driven Liver Ultrasound Radiomics ...

Time July 01, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

June 26, 2025 — Siemens Healthineers has received Food and Drug Administration clearance for the Magnetom Flow.Ace, its ...

Time June 26, 2025
arrow
News | Prostate Cancer

June 26, 2025 – Quibim, a global provider of quantitative medical imaging solutions, has launched AI-QUAL, a new feature ...

Time June 26, 2025
arrow
News | Bone Densitometry Systems

June 19, 2025 — Naitive Technologies has published results demonstrating the diagnostic performance of its AI-powered ...

Time June 18, 2025
arrow
News | Lung Imaging

June 18, 2025 — Exo recently announced that now included on its Exo Iris is the first ever FDA 510(k) cleared AI for ...

Time June 18, 2025
arrow
News | Digital Pathology

June 11, 2025 — Diagnostic laboratory leaders view digital pathology and artificial intelligence (AI) as pivotal to ...

Time June 12, 2025
arrow
News | Lung Imaging

June 11, 2025 — To prepare healthcare workforces and providers for an AI-driven future, Qure.ai has expanded its Global ...

Time June 11, 2025
arrow
News | Radiology Imaging

June 10, 2025 — CIVIE has announced the official launch of RadPod, an AI-driven, on-demand radiology platform designed ...

Time June 10, 2025
arrow
Subscribe Now