From required Centers for Medicare & Medicaid Services (CMS) and Centers for Disease Control and Prevention reporting to Agency for Healthcare Research and Quality (AHRQ) indicators, hospitals now ...

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, ...

Hospitals don’t suffer from a lack of data; they suffer when data can’t be translated into timely, accountable action. Clinical, registry, and operational information often sits in different systems ...

Evidence from the medical literature that contributes to adopting a new practice into clinical care is integral for surgical quality improvement. Part II of a comprehensive review of five key ...

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 ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

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 ...

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 ...

Quality Improvement (QI) projects require a series of distinct steps and timely data collection that will allow clinics to see if changes are yielding results, a consultant told attendees at a ...

The Optimizing Obstetric Care Quality Initiative was launched to address persistently elevated obstetric length of stay (LOS), which had drifted two standard deviations above peer benchmarks. Early ...