Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Abstract Background Normalization Process Theory (NPT) identifies, characterises and
explains key mechanisms that promote and inhibit the implementation, embedding and …

Background The diagnosis of cancer in primary care is complex and challenging. Electronic
clinical decision support tools (eCDSTs) have been proposed as an approach to improve …

Background Acute kidney injury (AKI) is assoicated with high mortality and measures to
improve risk stratification and early identification have been urgently called for. This study …

Continuous renal replacement therapy (CRRT) is widely utilized to support critically ill
patients with acute kidney injury. Artificial intelligence (AI) has the potential to enhance …

Objective To identify factors that prevent and promote uptake of medication-related
computerized decision support systems (CDSS) in hospitals, based on the perceptions of …

Importance Despite the expansion of published electronic alerts for acute kidney injury (AKI),
there are still concerns regarding their effect on the clinical outcomes of patients. Objective …

Background The weighted incidence syndromic combination antibiogram (WISCA) is an
antimicrobial stewardship tool that utilizes electronic medical record data to provide real …

Objectives The study sought to examine the implementation of sick day guidance cards
designed to prevent acute kidney injury (AKI), in primary care settings. Design Qualitative …

Algorithms are increasingly being adopted in healthcare settings, promising increased
safety, productivity and efficiency. The growing sociological literature on algorithms in …