Healthcare Analytics, Population Health Management, Healthcare Big Data

Big Data News

Imaging Analytics: The First Step to Personalized Medicine

August 17, 2016 - Across the healthcare industry, there is a rising demand for personalized medicine, including the desire to have better access, visibility and insight into patient records. Everyone in the ecosystem – patients, doctors, hospitals, insurers – are interested in the benefits that could be achieved, but with so many compliance and technical challenges to address, where is the best...


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How Big Data Analytics Can Improve Patient Utilization Rates

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Clinical analytics, quality reporting, and population health may receive most of the attention when it comes to health IT improvements, but there are a surprising number of other innovative uses for big data within a healthcare organization –...

Precision Medicine, Data Exchange, CDS on New ONC Leader’s Agenda

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Late last week, Dr. Vindell Washington stepped into the top spot of the Office of the National Coordinator (ONC) after Karen DeSalvo announced that she would be relinquishing the position to focus on other duties at HHS.  Washington, an...

UCSF Receives $85M NIH Grant for Precision Medicine Research

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The University of California San Francisco’s Clinical and Translational Science Institute (CTSI) has received an $85 million funding commitment from the National Institutes of Health (NIH) to advance research into precision medicine and...

Can IBM Watson Prove the Value of Precision Medicine in China?

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Even as the Precision Medicine Initiative gears up in the United States, bringing with it a renewed effort to focus on a cure for cancer, IBM Watson has its sights set on even bigger goals for personalized care.  Today, the cognitive computing...

Google, Stanford Partner for Genomics, Precision Medicine Project

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Stanford Medicine and Google are teaming up to build Stanford’s Clinical Genomics Service, which aims to leverage big data to improve precision medicine and patient care. According to a Stanford press release, the medical system will be...

Healthcare Big Data Success Starts with the Right Questions

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In the world of big data analytics, there is perhaps one catchphrase that towers above all the other buzzwords, jargon, watchwords, and mantras.  “If you can’t measure it, you can’t manage it” is the key concept that...

FHIR App Provides Precision Medicine Support at Point of Care

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Two of the most intriguing trends in healthcare may be able to work together to bring advanced clinical decision support directly to the point of care, suggest researchers who developed a FHIR-based precision medicine application that integrates...

How the Search for Smart Data Drives Healthcare IT Investment

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There’s no question that the healthcare industry has become extremely “data rich” over the past few years.  Thanks to the rapid pace of electronic health record adoption, the vast majority of healthcare organizations are...

NIH, 23andMe Crowdsource Precision Medicine Depression Study

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One of the most common mental health conditions in the world is getting the precision medicine treatment thanks to a unique public-private study using big data provided by 23andMe.  The home genetics testing provider, in conjunction with...

Even More Top Healthcare Big Data Analytics Buzzwords to Know

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The world of healthcare big data analytics is evolving at a blistering pace, and so is the language used to describe the latest projects, innovations, and achievements.  New terms are cropping up every day as developers, researchers, and...

VA Precision Medicine Databank Hits 500,000 Participants

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The Department of Veterans Affairs reached a significant precision medicine milestone this week when it added its 500,000th name to the enrollment logs of the Million Veteran Program (MVP).  The achievement officially makes the MVP the largest...

Why Aren’t Hospitals Using Patient-Reported Outcomes Data?

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Of all the big data sources healthcare organizations can use for clinical decision-making, patient-reported outcomes (PROs) seem to be at the bottom of the priority list for hospitals.  Despite the growing emphasis on patient-centered care...

Laying the Groundwork for Actionable Healthcare Analytics

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Even the longest journey must start with a single step, but when it comes to healthcare analytics, that first leap of faith can seem incredibly daunting.  Financial concerns, data integrity woes, a lack of qualified talent can all quickly...

Predictive Big Data Analytics Identify High-Risk ED Patients

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Reducing unnecessary emergency department utilization and avoidable hospital admissions is a top priority for many healthcare systems, especially those seeking to cut costs and eliminate waste in preparation for value-based care.  While...

Academic Medical Orgs Leap into Precision Medicine Initiative

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The Precision Medicine Initiative is continuing to build steam as academic medical centers and medical schools line up for a flood of grant money – and a chance to be part of one of the largest concerted efforts to unlock the genetic code...

Cancer Moonshot Flags Basic Big Data Woes of Precision Medicine

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The Precision Medicine Initiative and the Cancer Moonshot may be generating enormous cross-industry enthusiasm, but the research community must address some of its most foundational systemic problems if it is going to successfully cure cancer,...

FDA Drafts Docs on Next-Gen Sequencing for Precision Medicine

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As part of its effort to advance precision medicine and genomics research, the Federal Drug Administration (FDA) has released two draft guidance documents that would implement regulatory processes for developing and using next-generation sequencing...

Data Overload May Impede Healthcare Internet of Things Growth

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The Internet of Things (IoT) may simply be too hot for the healthcare industry to handle as organizations continue to struggle with the huge amount of data produced by wearables, sensors, remote monitors, and other medical devices. Forty-two...

Semantic Computing, Predictive Analytics Need Reliable Metadata

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As the healthcare industry reaches the saturation point of electronic health record adoption, and slowly moves past the pain of the implementation process, it may seem like the right time to stop thinking so much about hammering home basic data...

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