Reducing diagnostic error is a significant part of healthcare organizations’ efforts to improve patient outcomes. By using data to recognize vulnerabilities in the diagnostic process, empowering their diagnostic teams and fostering an environment where every team player understands their vital role organizations can proactively correct the potential root causes of diagnostic errors.
Called RecoverX, the company will leverage AI to mine evidence-based research, medical charts, patient conversations and test results and provide clinical insights for clinicians in real time.
In a landscape where complexity has long been the norm, the power of one lies not just in unification, but in intelligence and automation.
The problem of misdiagnosis and delayed diagnosis is so prevalent that clinical decision support technology vendor VisualDx calls surgical and medication errors just the tip of the iceberg in patient safety.
England's top health official on Tuesday publicly apologized on behalf of the National Health Service in the December 2014 death of 1-year-old William Mead.
Medical technology is great, but overused. Information technology, especially data, is underused, in the opinion of Dr. Leana Wen, health commissioner for the City of Baltimore, said at CHIME15.
Two things were missing from previous attempts by the Institute of Medicine to shine light on the epidemic of medical harm in U.S. healthcare: diagnostic error and a patient-centered approach to fixing the many problems.
How can AI benefit and improve patient outcome in the emergency department? Watch the latest episode to find out.