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Background: Compound schizonepeta fumigation lotion is a type of Chinese patent medicine for external use. It has the effect of dispelling wind, eliminating dampness, reducing swelling, and relieving pain. Clinically, it is used for anal fumigation and treatment of external hemorrhoids, anal fissures, and other diseases.

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Background: Medication reconciliation has been acknowledged as a key intervention against medication errors. More than half of the medication errors that happen during care transitions are caused by unjustified medication discrepancies and up to one-third of these mistakes may be harmful. The study aimed to evaluate the knowledge, attitude and practices (KAP) of health care providers in on medication reconciliation process, pre and post educational intervention.

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Disruption of Epistemic Trust in Borderline Personality Disorder: A Possible Adaptation to Avoid Making Costly Mistakes.

Personal Ment Health

February 2025

Department of Clinical, Educational and Health Psychology, University College London, London, UK.

This paper applies error management theory (EMT) (Haselton and Buss 2000) to explore how disruptions in epistemic trust-trust in communicated information-can be understood as adaptive responses to early adversity in individuals with borderline personality disorder (BPD). I propose that epistemic mistrust (EM) and epistemic credulity (EC), characterized by inappropriate trust patterns, arise from the differential costs of trusting unreliable versus mistrusting reliable information. Although these biases may seem maladaptive, they function as evolutionary survival mechanisms in response to harsh environments.

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Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.

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Objectives: Evaluating the impact of an AI-based automated cardiac MRI (CMR) planning software on procedure errors and scan times compared to manual planning alone.

Material And Methods: Consecutive patients undergoing non-stress CMR were prospectively enrolled at a single center (August 2023-February 2024) and randomized into manual, or automated scan execution using prototype software. Patients with pacemakers, targeted indications, or inability to consent were excluded.

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