Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Guest post by Warren Strauss, director of the Advanced Analytics and Health Research Resource Group at Battelle, a private nonprofit applied science and technology development company From required ...

Electronic health record data can identify gaps in maps used for quality improvement for high-risk processes such as hospital discharge when using the Failure Mode and Effects Analysis (FMEA) approach ...

Citigroup is adding a second pair of hands to oversee improvements to the company's data quality management processes, which have been called out by regulators for being inadequate. Tim Ryan, who ...

The Perfect Depression Care initiative serves as an example of how suicide prevention programs can collect real-time mortality data internally to drive rapid quality improvement. Perfect Depression ...

As organizations look to adopt the new wave of coming technologies, like automation, artificial intelligence and the Internet of Things, their success in doing so and their ability to differentiate ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Quality improvement (QI) in health care is an activity in which intentional change in processes and systems of care is attempted in a methodical, reflective and iterative manner in order to improve ...

Cancer-Related Internet Use and Online Social Networking Among Patients in an Early-Phase Clinical Trials Clinic at a Comprehensive Cancer Center From May 2011 to May 2016, physicians prospectively ...