Healthcare Analytics, Population Health Management, Healthcare Big Data
  • ACO Success Relies on Population Health Management Tools

    June 1, 2016 - Healthcare providers who wish to succeed as accountable care organizations have to address a lengthy checklist of tasks, strategies, and technologies long before they can hope to accrue shared savings from Medicare or a private payer.  Developing the partnerships and population health management techniques to stratify patients, communicate effectively, meet demanding quality measures,...

  • Montefiore Semantic Data Lake Tackles Predictive Analytics

    May 31, 2016 - Semantic computing is becoming a hot topic in the healthcare industry as the first wave of big data analytics leaders looks to move beyond the basics of population health management, predictive analytics, and risk stratification. This new approach to analytics eschews the rigid, limited capabilities of the traditional relational database and instead focuses on creating a fluid pool of standardized...

  • Big Data Analytics Can Bring Visibility, Value to Healthcare

    May 23, 2016 - The healthcare industry is often criticized for being ploddingly slow to innovate, reluctant to embrace new technologies, and unable to keep pace with quality measures and payment reforms intended to improve the quality of care.  The degree to which many providers have rebelled against regulatory initiatives like the EHR Incentive Programs and struggled with new reimbursement models like...

  • Patient Engagement, Population Health Are Key to ACO Success

    May 18, 2016 - There is no standard recipe for success when it comes to developing an accountable care organization that can earn incentives through the Medicare Shared Savings Program (MSSP).  The chequered history of the initiative, which has faced an onslaught of criticism about its benchmarking methodologies and lackluster financial returns, may not seem all that appealing to an organization that...


Today's Top Stories

Top 4 Emerging Tech Trends in Healthcare Big Data Analytics

For most segments of the healthcare industry, big data analytics is still an evolving concept that hasn’t quite reached the mainstream of clinical care.  The prospect of integrating disparate sources of information into a multifaceted...

EHR Socioeconomic Data a Must for Population Health Management

Socioeconomic data that helps to take the “vital signs” of a patient’s community must be integrated into the electronic health record if providers are to have a chance of implementing effective population health management strategies,...

Imaging Analytics Get Big Data Boost from New Partnerships

Diagnostic data from imaging studies such as x-rays, MRIs, and CAT scans is usually locked away in the images themselves, or in accompanying free-text reports attached as PDFs to electronic medical records.  However, a series of new partnerships...

6 Success Factors for Pediatric Patient-Centered Medical Homes

The patient-centered medical home has become a popular and promising framework for improving care coordination, fostering preventative care, and generating better outcomes for patients, including children.  The patient-centered medical home’s...

New Public-Private Precision Medicine Group Tackles Cancer

The national Precision Medicine Initiative isn’t the only large-scale partnership forging ahead in the fight against cancer.  This week, four major academic medical centers, along with a pharmaceutical developer, announced a new collaborative...

Maine’s HIE Analytics Cut ED Visits, Integrate Behavioral Care

Maine’s state health information exchange (HIE) is continuing to bring improved care coordination and actionable insights to the region’s providers through its advanced big data analytics efforts. In its latest annual report, HealthInfoNet...

Can Dr. Google’s New Symptom Search Change Healthcare Analytics?

Healthcare pundits may soon have to retire one of their favorite jokes about panicked patients scouring the web for answers thanks to a new effort by Google to refine its symptom search capabilities.  Patients who self-diagnose after a quick...

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