Sources of qualitative data on PAC providers
Health systems require qualitative data when evaluating post-acute care (PAC) providers as potential partners.
Special Report: Effective use of analytics can help healthcare organizations solve critical challenges
Advances in analytics are powering improvements in electronic health record utilization and clinical documentation improvement.
Top 5 episode-analytics questions answered
As healthcare providers continue to move toward value-based care models, data and analytics will continue to play an important role. In 2017 alone, U.S. hospitals cared for over 36.5 million admissions. As this number continues to grow, providers will need to understand their patients not only as they pass through their own care journey, but…
Comparative analytics: putting data to work
An effective comparative analytics platform requires four attributes: single sourced, structured, appropriate, and timely.
Driving change with analytics
Caroline Gay and Ray Ready from Florida's Lakeland Regional Health talk about common analytics traps. Also: The latest from Washington and five features of HFMA's all-new all-inclusive membership.
Pursuing a Proactive Denials Strategy Helps Resolve Denials and Prevent Recurrence
A look at how one company is partnering with healthcare organizations to use data and technology to address the root causes of long-standing problems, including denials.
Achieving the elusive ROI on an EHR
Navigant's David Burik discusses the challenges hospitals face with their electronic health records and how to maximize their systems to achieve an ROI. Also, five key elements to an effective analytics solution.
Specialty practices use predictive analytics to enhance value-based care
Specialty physician practices embarking on value-based care initiatives should start by expanding their ability to collect and synchronize data.
How health plans can achieve next-level cost efficiencies using artificial intelligence and analytics
Health plans can transform their cost structures by implementing predictive analytics and artificial-intelligence processes.
How healthcare organizations can advance beyond common analytics traps
One health system has developed a robust analytics platform while avoiding obstacles that commonly trip up organizations seeking to make optimal use of data.