Audience
mPower Clinical Analytics is intended for healthcare organizations, radiologists, and clinical researchers seeking to leverage AI-driven analytics to improve data management, enhance research capabilities, and optimize radiology workflows.
About mPower Clinical Analytics
mPower Clinical Analytics, developed by Nuance and integrated with Microsoft's Azure platform, is an advanced analytics solution designed to enhance radiology workflows. It enables healthcare professionals to extract valuable insights from unstructured clinical data, facilitating improved decision-making and operational efficiency. By leveraging AI and machine learning, mPower Clinical Analytics assists in identifying patterns, predicting outcomes, and streamlining processes within radiology departments.
Other Popular Alternatives & Related Software
Zebra Imaging Analytics Engine
Zebra’s Imaging Analytics Engine receives imaging scans from various modalities and automatically analyzes them for a number of different clinical findings, in a timely manner and full synergy with radiology workflow. Providers use Zebra-Med to alert them of patients at high risk of cardiovascular, lung, bone and other diseases. This facilitates preventative care programs, proper risk adjustments and allocation, as well as conformance with quality standards such as MACRA. With Zebra-Med – focus can be provided to the right patients, at the right time – saving overall costs while improving care.
Learn more
PowerScribe One
PowerScribe One is a next-generation radiology reporting platform powered by AI, designed to improve diagnostic accuracy and workflow efficiency. Integrated with Microsoft Cloud for Healthcare, it automates several aspects of radiology reporting, including generating draft impressions and offering real-time clinical guidance. Features like Smart Impression, AI findings, and clinical decision support help radiologists produce content-rich reports faster and with fewer errors. PowerScribe One also supports seamless integration with electronic medical records (EMR) and offers cloud-based speech recognition for more accurate and efficient documentation, ultimately leading to improved patient outcomes.
Learn more
InformAI
InformAI has a healthcare focus on AI solutions that speed up medical diagnosis at the point-of-care and improve radiologist productivity. Our AI-enabled image classifiers and patient outcome predictors are developed within the world’s largest medical center complex, the Texas Medical Center. Together with our partners, InformAI is transforming the way healthcare is being delivered. InformAI works with renowned healthcare organizations, national physician groups, and leading medical imaging companies to build solutions that improve patient outcomes. Our team is comprised of leaders in healthcare, medicine and artificial intelligence. The InformAI Sinus Image Classifier is built using a 3D convolutional neural network (CNN) trained on a radiology-validated 3D CT-scan image library consisting of 6 million medical images.
Learn more
NilRead
NilRead is a universal diagnostic viewer that can handle the clinical viewing needs of referring physicians and clinicians, as well as the advanced clinical visualization requirements of radiology or a specialty-imaging department. NilRead supports dynamic care decisions with workflow and viewing experiences.
Learn more
Integrations
Company Information
Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/health-solutions/radiology-workflow/mpower-clinical-analytics
Videos and Screen Captures
Other Useful Business Software
Run Any Workload on Compute Engine VMs
Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Phone Support
Online
