The High Cost of Bad Data and Analytics on Strategic Healthcare Decisions

U.S. healthcare leaders continue to face obstacles in collecting, normalizing, and analyzing the growing array of available patient data—hurting their ability to make sound clinical and business decisions. A new survey of 100 healthcare executives* sheds light on the scope and impact of these issues. 

Key findings include:

  • Only 20% of healthcare organizations fully trust their data
  • Half say poor data quality has serious consequences, leading to ineffective or slow decisions and the inability to identify gaps in care
  • Data integration and interoperability issues hurt their ability to achieve their strategic priorities related to data analytics
  • A smart healthcare data fabric that includes a robust data model and data harmonization could solve these persistent challenges


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