Clinical artificial intelligence (AI) systems can produce inaccurate results, miss important findings, or perform differently across patient...Read More »
Hospitals are showing broad improvement in patient safety, including sharp declines in healthcare-associated infections and greater adoption of...Read More »
A hospital can have plenty of beds, sufficient physician staffing, and adequate emergency services, yet still leave some of the factors driving...Read More »
Failure to identify or interrupt contact transmissions, droplet transmissions, airborne transmissions, environmental spread, and transport-related...Read More »
Hospitals cannot assume capacity constraints change their fundamental obligations to patients. Clinicians are still expected to assess patients...Read More »
Despite the lack of uniform standards, common MRI-related injuries such as projectile incidents and radiofrequency burns are well understood and...Read More »
After deploying artificial intelligence (AI), patient safety teams must apply best practices for investigating adverse events, preserving evidence...Read More »
Patient falls are multifaceted, and a facility’s approach to fall prevention should reflect that. The patient’s fall risk score may indicate a...Read More »
When used correctly and compliantly, clinical AI can be a helpful tool to improve diagnostic accuracy and timeliness. However, hospitals often...Read More »
Artificial intelligence (AI) deployment decisions related to emergency power, fire protection, medical gas systems, and the environment of care...Read More »
