Abstract Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to
derive insights from clinical data and improve patient outcomes. However, these highly …

Improvement (defined broadly as purposive efforts to secure positive change) has become
an increasingly important activity and field of inquiry within healthcare. This article offers an …

Abstract In Chile, since January 2023, a sudden and pronounced increase in strandings and
mortality has been observed among South American (SA) sea lions (Otaria flavescens) …

Research on organizational interventions needs to meet the objectives of both researchers
and participating organizations. This duality means that real-world impact has to be …

Background Those working in healthcare today are challenged more than ever before to
quickly and efficiently learn from data to improve their services and delivery of care. There is …

The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

Background The demand for the highest-quality patient care coupled with pressure on
funding has led to the increasing use of quality improvement (QI) methodologies from the …

Abstract Background The Plan-Do-Study-Act (PDSA) method is widely used in quality
improvement (QI) strategies. However, previous studies have indicated that methodological …

Background There is growing interest in applying lean thinking in healthcare, yet, there is
still limited knowledge of how and why lean interventions succeed (or fail). To address this …

Abstract Model calibration, critical to the success and safety of clinical prediction models,
deteriorates over time in response to the dynamic nature of clinical environments. To support …