TREND #3: LEVERAGE CROSS-CONTINUUM DATA ANALYSIS FOR IMPROVED PATIENT CARE AND OUTCOMES
Despite all the changes within the industry, the healthcare continuum remains relatively the same. However, our perspective across that continuum has changed considerably due in large part to the enhanced view enabled by healthcare analytics. Historically, healthcare analytics has been used to manage care within the four walls of the traditional care setting. Healthcare reform, specifically the arrival of accountable care and payment reform, has led to a greater emphasis on care across the entire continuum.
As the transformation from a volume-based to a value-based care model continues, healthcare organizations are experiencing a reduction in reimbursement. This reduction in reimbursement is putting added pressure on organizations that are trying to meet new demands. The increasing number of individuals covered by high-deductible health plans, (many of whom are delaying care as long as possible) is adding to the complexity, forcing healthcare organizations to look for alternate ways to reduce costs while still providing quality care.
Healthcare organizations are turning to cross-continuum analytics to discover opportunities to reduce care delivery costs, streamline processes, and enhance patient care for the populations they serve. Cross-continuum analytics requires the integration of multiple, disparate clinical and operational systems. Healthcare organizations need access to timely and accurate data across the entire continuum of care to leverage the power of information and turn it into meaningful and actionable insights to improve care delivery for individuals and populations
This is just one of the healthcare analytics trends for 2016. In our new guide, we take a look at ten analytics trends healthcare executives need to be thinking about in 2016 and beyond. We identify technology strategies and solutions that will help healthcare organizations succeed in a data-driven, digital world.