A New, Evidence-based Estimate of Patient Harms Associated with Hospital Care

By J. James. Journal of patient safety, 2013

1,378 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach (2016, background): “While some of these deviations are errors [1], many more are innovative adjustments made by clinicians to adapt treatments to the individualized (perceived) needs of patients.”
Generative AI in healthcare: an implementation science informed translational path on application, integration and governance (2024, background): “Studies have found that many hospital patients will experience a preventable medical error, often due to issues like misdiagnosis, prescription mistakes or examination findings that are not followed up correctly [46].”
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review (2020, background): “Despite the safety initiatives and investments made by federal and local governments, private agencies, and concerned institutions, studies continue to report unfavorable patient safety outcomes [4,5].”
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations (2021, background): “Moreover, developers, practitioners and the clinical staff need to take into account biases such as the underdiagnosis of under-served populations in the AI-based medical decision-making algorithms and its harmful effect 17,18 on patients.”