8 Tips for Long-Range Cost Savings in Healthcare Construction
Savvy project management can reduce construction costs and improve patient satisfaction.
Chronic Disease Most Significant Factor in Care Cost Variation
A recent study by HFMA and other partners revealed the factors that impact total cost of care.
Analysis: N.C. House of Representatives stalls reference-based pricing plan
HFMA’s Chad Mulvany looks at the trend of states basing (or considering basing) hospital and physician service payment rates for employees on a percentage of Medicare.
Analysis: CVS, Walgreens look to the chronically ill for a pharmacy cure
HFMA’s Chad Mulvany looks at how insurers’ claims data could be used by CVS and Walgreens walk-in clinic care teams to flag high-risk patients and provide tailored care plans.
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.
Analysis: Controlling access to control costs
Health-plan-based primary care offerings may be challenging conventional wisdom related to population health.
Analysis: Why physician practice acquisition by health systems is a growing trend
HFMA’s Chad Mulvany discusses why more physicians are selling their practices and what health systems need for these acquisitions to be financially viable in the long term.
Analysis: Kaine, Bennet public option health plan
HFMA’s Chad Mulvany reviews some possible short- and long-term outcomes of the public option health plan proposal by Senators Tim Kaine and Michael Bennet last week.
Analysis: What nonprofit hospitals should do to compete with healthcare industry disruptors
Health systems can effectively respond to nontraditional healthcare competitors in this review of findings from a Fitch Report of nonprofit hospital ratings.
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.