Cloud Computing
The move would empower patients to control their own data, according to Ricky Bloomfield, MD, of Duke Health, and help eradicate the tradition of paternalism in medicine.
The cloud-based service, dubbed myAva, can be used to analyze biometric, genomic, molecular and patient-generated data to create digital profiles of patients that inform care plans.
U.S. Federal Trade Commission said that the cloud-based electronic health record vendor misled patients into sharing sensitive medical without knowing it could be posted in a public-facing provider directory.
Startup intends to use the funding to scale its EHR-agnostic cloud-based service and analytics for helping doctors determine the best treatment options for patients.
Research firm’s latest report also reveals that electronic health records software vendors have made substantial clinical workflow enhancements since 2014 but lacking interoperability continues having an impact on users.
The analytics vendor combined new capabilities including machine learning to automate the process of finding, stratifying, enrolling and communicating with patients eligible for CCM.
Big data poised to become its own platform, says Kleiner Perkins Caufield Byers Internet Trends Rep…
KCBP analyst Mary Meeker noted that the next wave of big data will be all about leveraging existing infrastructure for both analyst and knowledge workers to improve people’s lives and the ways businesses operate. That includes healthcare organizations.
Froedtert medical Director James Thomas said Watson for Clinical Trial Matching is expected to make better matches and do so more quickly.
Intermountain, Stanford, precision medicine specialist join forces on Oncology Precision Network to…
Providence Health and Services also joins consortium of hospitals teaming with Syapse to establish OPN that will advance data sharing and speed development of personalized cancer treatments.
Intermountain also led a $12 million funding round that Zebra said it will use to build out its analytics engine with machine learning algorithms for diagnosing imaging scans.