Analytics
The system helps provide nurses with a comprehensive, single-source view of the factors most associated with driving nursing excellence – quality, patient experience and nursing engagement, the vendor said.
HealthX Ventures raises $20 million to invest in early-stage startups focusing on access, cost and …
The venture capital firm has already invested in Redox, founded by former Epic employees, as well as upstarts focusing on analytics, billing, and cloud-based machine learning.
The Mentrics system from ODH will integrate data to support prevention, treatment and recovery services for persons with mental health and substance use disorders in Miami-Dade and Monroe Counties.
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The first step toward Connected Health is to integrate siloed clinical data and then look to use cases that are easy to integrate and expand into Connected Health initiatives.
IBM announced October 3 that it would put Watson to work on IoT, and would devote up $200 million of a $3 billion total investment – the most IBM has ever spent in Europe – to open a new global headquarters in Munich for Watson's IoT business.
Analytics
One of the largest healthcare providers in Hawaii, it's only the second two-time winner of the Enterprise Davies Award since the inception of the program in 1994.
The Centers for Medicare and Medicaid Services awarded $347 million to 16 national, regional or state hospital associations, quality improvement organizations and health systems to continue efforts in reducing hospital-acquired conditions and readmissions.
The biggest hindrance to progress is that tools like artificial intelligence, cognitive computing and machine learning conjure images of sci-fi movies rather than real-world uses. Here’s what one Harvard Medical School expert said needs to happen next.
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The value of Connected Health in the form of coordinated care across the continuum for high-quality care and improved health outcomes can only be realized when three barriers are successfully addressed.
A prominent MIT healthcare economist explains how Big Data can be misleading and discusses methods for properly studying such information.