Preoccupation with failure” is a key trait of High Reliability Organizations (HROs) in healthcare, promoting vigilance to detect small issues before they become bigger problems. Learn how this mindset can improve patient safety and explore free tools to implement it in your organization.
Patient Safety
Learn how to foster trust, safety, and reliability in healthcare by becoming a high-reliability organization. This guide outlines key principles and proven strategies for healthcare teams to prevent errors, enhance patient safety, and drive continuous improvement.
Discover how American Data Network’s easy-to-use Morse Fall Scale Calculator can help your hospital prevent falls and improve patient safety. This quick and effective tool not only assesses fall risk but also offers personalized intervention strategies to reduce incidents. Learn why fall prevention is critical and how you can integrate this powerful tool into your care routine.
American Data Network Patient Safety Organization (ADNPSO) conducted a study across 15 hospitals, identifying that specimen errors are among the most frequent and preventable issues in patient safety. Over 73% of these errors were found to be avoidable, offering a significant opportunity for improvement in hospital processes.
Discover how transitioning to an electronic event reporting system transformed hospital operations, empowered Risk Managers, and improved patient safety. These seven key insights from real-world experiences reveal the powerful benefits of real-time reporting, enhanced data quality, and greater leadership support.
American Data Network Patient Safety Organization (ADNPSO) organized a 45-Hospital Good Catch Campaign focused on near miss reporting.
In a comprehensive patient safety data analysis conducted by ADNPSO, the event type “Other” revealed critical insights, showing a death rate 3 times higher than all other patient safety event categories combined. This analysis sheds light on the hidden risks within the “Other” event category, emphasizing the importance of detailed data collection and categorization to improve patient outcomes.
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