Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …

Introduction Artificial intelligence through machine learning uses algorithms and prior
learnings to make predictions. Recently, there has been interest to include more artificial …

The use of natural language processing (NLP) methods and their application to developing
conversational systems for health diagnosis increases patients' access to medical …

Objective To estimate the incidence of avoidable significant harm in primary care in
England; describe and classify the associated patient safety incidents and generate …

Background: Healthcare systems represent complex organizations within which multiple
factors (physical environment, human factor, technological devices, quality of care) …

Background The COVID-19 pandemic has resulted in the rapid reorganisation of health and
social care services. Patients are already at significant risk of healthcare-associated harm …

The use of novel health information technology provides avenues for potentially significant
patient benefit. However, it is also timely to take a step back and to consider whether the use …

Background: Adverse events refer to incidents with potential or actual harm to patients in
hospitals. These events are typically documented through patient safety event (PSE) reports …

Safety occurrence reports can contain valuable information on how incidents occur,
revealing knowledge that can assist safety practitioners. This paper presents and discusses …

Falls are a major issue for those over the age of 65 years worldwide. Objective assessment
of fall risk is rare in clinical practice. The most common methods of assessment are time …