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B. Braun Medical Issues Voluntary Nationwide Recall of Lactated Ringer’s Injection USP 1000 mL and 0.9% Sodium Chloride Injection USP 1000 mL Due to the Presence of Particulate Matter

FDA MedWatch -

For Immediate Release - BETHLEHEM, PA – August 19, 2025 – B. Braun Medical Inc. (B. Braun) is voluntarily recalling two lots of Lactated Ringers Injection USP 1000 mL,and 0.9% Sodium Chloride Injection USP 1000 mL to the hospital level due to the presence of particulate matter inside the container.

Correction: Its time for the field of geriatrics to invest in implementation science

Quality and Safety in Health Care Journal -

Prusaczyk B, Burke RE. It’s time for the field of geriatrics to invest in implementation science. BMJ Qual Saf 2023;32:700-703.

In this article, the affiliation ‘Central and North West London NHS foundation Trust’ has been added to Simon Conroy and the funding statement has been updated to acknowledge the funding from the NHS Elect and Central and North West London NHS foundation Trust.

doi: 10.1136/bmjqs-2023-016263corr1

Why tackling overuse will not succeed without changing our culture

Quality and Safety in Health Care Journal -

Tackling overuse in healthcare is now more necessary than ever. Movements such as Choosing Wisely and Preventing Overdiagnosis have highlighted that some healthcare services offer no added value and may even cause harm to patients. Estimates of overdiagnosis and overtreatment vary widely between services, providers and regions.1 2 Overuse is a persistent challenge in high-income countries and is increasingly recognised in low-income settings.3 Action is needed to prevent patient harm, reduce resource waste and preserve the limited time of healthcare professionals. In addition, since healthcare services have a significant environmental impact, minimising overuse can contribute to achieving climate goals.

De-implementation science

To accelerate the reduction of overuse, robust de-implementation science is essential.4 This field studies the drivers, strategies and processes involved in reducing or eliminating ineffective, unnecessary or harmful healthcare practices, and in replacing them with evidence-based, high-value alternatives. Rigorous...

Unreasonable effectiveness of training AI models locally

Quality and Safety in Health Care Journal -

Sepsis remains a leading cause of morbidity and mortality worldwide.1 The use of artificial intelligence (AI), and particularly machine-learning (ML) approaches, to predict which patients are at risk for sepsis in the hospital may improve patient-centred outcomes through early recognition and timely antibiotics. Yet, despite major interest in the use of ML applications in sepsis care, there are only a handful of successful examples of model implementation that save lives through early detection.2 3 The high cost and extensive system architecture required to test and implement novel ML applications have limited many institutions’ abilities to bring these models to the bedside. Unfortunately, this has resulted in a preponderance of studies on model development rather than implementation and reliance on proprietary models disseminated to health systems without validation or testing. One well-known sepsis predictive model developed by an electronic health record vendor (Epic Systems,...

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