Diagnostic Errors, Opioid Safety, Care Coordination Top ECRI List of 2018 Patient Safety Concerns
Diagnostic errors are the top patient safety issue of the moment, according to ECRI Institute’s latest ranking of top 10 patient safety concerns for healthcare organizations.
Eisenberg Patient Safety and Quality Award Recipients Honored
Launched in 2002, the patient safety awards program has highlighted achievement in patient safety and quality in the name of the late John M. Eisenberg, MD, MBA, former administration of the Agency for Healthcare Research and Quality.
Congress Voices Concern Over CMS Oversight of AOs
The House Energy and Commerce committee is launching an investigation into hospital patient safety.
Share Your Thoughts on Patient Safety and Quality Improvement
We are pleased to invite you to participate in a brief survey that examines patient safety and quality improvement. Please take a few minutes to complete the survey by clicking on the link below. Your confidential answers will be reported in aggregate and not tied directly to you or your organization.
Gearing Up for Patient Safety Awareness Week
The goal of the week is to “have a visible and focused discussion on patient safety,” Gandhi says. “We promote tools that organizations and patients can be using throughout the year.”
Jury’s In: Opioids Are Not Better Than Other Medicines For Chronic Pain
Even though millions of people take the drugs for long periods of time, there is little evidence to support that use.
Balanced IV Fluids Seem to be Safer than Saline in ICU
Giving balanced crystalloids led to a lower rate of composite outcome of death from any cause.
Hospital Violence Need Not Be ‘Part of the Job’
Tolerance may add to problem, expert says.
Report: Six Opportunities to Improve Patient Safety
Up to 17 percent of all hospitalizations are affected by one or more adverse events and around 15% of hospital expenditure is attributable to addressing them.
The Training Of Dr. Robot: Data Wave Hits Medical Care
After years of experimentation, machine learning’s predictive powers are well-established, and it is poised to move from labs to broad real-world applications.