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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