Healthcare Analytics, Population Health Management, Healthcare Big Data
  • Challenges of Applying Predictive Analytics to Population Health

    January 10, 2017 - Healthcare providers are starting to become very familiar with the notion that data analytics can help to drive more informed clinical decision making, but organizations are largely still struggling to implement and leverage the big data tools that will allow them to truly succeed with comprehensive population health management. Tight budgets, old habits, competing initiatives, and hard-to-shift...

  • Bridging the Gap Between Big Data Science, Health IT Usability

    January 9, 2017 - The health IT landscape often seems starkly divided between two opposing camps: those who design elegant algorithms and regimented workflows in the idealized sterility of the R&D department, and those whose frenzied, frustrating daily experience in the hospital, office, or clinic have taught them that there is no such thing as an out-of-the-box solution to any of their big data needs....

  • What Will 2017 Bring for Healthcare Analytics, Interoperability?

    January 5, 2017 - After a tumultuous end to 2016, healthcare providers may be looking for a chance to catch their breath before diving back into solving some of the industry’s most intractable problems.  But the growing pressures of interoperability, big data analytics, and value-based care aren’t likely to give anyone a break. 2017 is already gearing up to be a challenging year for hospitals,...

  • Dental Care is the Missing Piece of Population Health Management

    December 28, 2016 - The care continuum may be drawing closer together as value-based care creates new business cases for population health management, yet one segment of the healthcare delivery system has been chronically left out of the loop.  Though they provide critical preventive services that have wide-ranging impacts on clinical health, dental care providers are still relegated to the fringes of the...


Today's Top Stories

Population Health, Big Data Strategies Could Reduce $2B Waste

The employer-based health insurance industry leaks approximately $2 billion each year due to wasteful or preventable spending across the care continuum, according to a new report by the American Health Policy Institute (AHPI).  But a population...

ONC Picks FHIR Health Data Aggregation App Contest Winners

The Office of the National Coordinator has picked six data aggregation, EHR utilization, and patient experience developers as winners of the second phase of its API-based app challenge.  The industry-wide competition, announced in March...

Health IT Vendors, Providers Struggling with API Development

The application programming interface (API) is one of the most exciting developments in health data interoperability, says a new report by Chillmark Research, and enthusiasm for standards-based data exchange is at an all-time high. Yet several...

Finding the Value in the IoT, Patient-Generated Health Data

Patient-generated health data (PGHD) is one of the most important sources of information for clinical decision-making, yet many healthcare organizations struggle to define the term, let alone to collect, analyze, and use the information for quality...

IBM Watson Health, FDA Partner for EHR, IoT Blockchain Project

IBM Watson Health and the FDA have announced a new partnership aimed at applying blockchain technology to the challenges of securely exchanging big data across the care continuum.  The two-year research initiative will explore blockchain’s...

Challenges of Applying Predictive Analytics to Population Health

Healthcare providers are starting to become very familiar with the notion that data analytics can help to drive more informed clinical decision making, but organizations are largely still struggling to implement and leverage the big data tools...

Bridging the Gap Between Big Data Science, Health IT Usability

The health IT landscape often seems starkly divided between two opposing camps: those who design elegant algorithms and regimented workflows in the idealized sterility of the R&D department, and those whose frenzied, frustrating daily experience...

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