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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