Traditional quality metrics often emphasize adverse events, readmissions, complications, or mortality. While those measures remain important, experts say they may not fully capture whether care improves patients' lives.
Hospital patient safety leaders' everyday reactions to employee concerns can determine whether potential safety risks are identified or allowed to escalate.
Artificial intelligence (AI) has the potential to reduce diagnostic errors and the complications from missed, delayed, or bad diagnoses. However, industry experts are raising concerns about its impact on patient safety.
What does highly infectious disease preparedness actually look like? Much of it revolves around something laboratory safety professionals already understand well—performing a thorough risk assessment.
CMS requires hospital radiologic services to meet professionally approved standards, but there is a significant gap between those broad expectations and MRI-specific accreditation requirements.
The National Fire Protection Association (NFPA) has approved Tentative Interim Amendment 1869 to NFPA 101, Life Safety Code®, officially allowing weapons detection systems to be incorporated within means of egress under specified conditions.
Learn how healthcare security leaders can assess entrances and exits, strengthen employee access controls, evaluate weapons-detection systems and other security technology, and prioritize improvements when resources are limited.
A hospital receives an accreditation finding, revises the relevant policy, retrains staff, increases auditing, and completes a corrective-action plan. Months later, the same problem returns.
Clinical artificial intelligence (AI) systems can produce inaccurate results, miss important findings, or perform differently across patient populations, raising plenty of concerns for industry experts.
