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Analytics

By Bernie Monegain | 12:29 pm | April 11, 2016
Lahey Health, which provides care in Massachusetts and New Hampshire, will tap Quartet's technology-enabled model of mental healthcare to support better patient outcomes and lower costs.
By John Andrews | 11:12 am | April 11, 2016
Advanced analytics and machine learning technologies are critical to pinpointing problems in large datasets that could be losing providers money. That’s why some organizations are investigating every single denied claim to better understand trends. 
By Jessica Davis | 11:45 am | April 08, 2016
Pfizer and IBM are teaming up to combat Parkinson's Disease with analytics and the IoT, the companies announced Thursday.
By Tom Sullivan | 01:32 pm | April 06, 2016
A new Black Book report also suggests that new payment models, private health information exchanges, patient locator systems and healthcare analytics will wield more influence driving interoperability forward than government or EHR makers. 
By Bernie Monegain | 11:43 am | April 06, 2016
The Genome Analysis Toolkit, dubbed GATK, will be available as a hosted service and a fistful of leading cloud vendors will also contribute to future generations of genome analysis technology.
By Aditi Pai | 04:49 pm | April 04, 2016
The hospital partnered with Techstars to create a three-month program to help startups working on technologies ranging from analytics of unstructured data to create artificial intelligence apps to virtual reality for improving inpatient experience.
By Mike Miliard | 12:26 pm | April 01, 2016
Clinical decision support misfires are commonplace but often hard to detect, according to a close examination of CDS systems at Brigham and Women's hospital in Boston published in the most recent Journal of the American Medical Informatics Association.
By Bernie Monegain | 10:36 am | April 01, 2016
Watson, IBM's supercomputing brainchild, will soon have its own pied-à-terre across the pond.
By Jonah Comstock | 10:27 am | April 01, 2016
Researchers say that pilot program demonstrates how readily available technologies can be used along with an EHR to improve communication between doctors and patients with type 1 diabetes.
By Mike Miliard | 12:26 pm | March 31, 2016
A Navy Seal-like analytics team at the University of Michigan Health System eliminated 10,000 hours of work and recovered $3 million in RAC money. Here’s how an experimental, try-and-fail approach helped them do it.