Background The inappropriate use of antimicrobials drives antimicrobial resistance. We
conducted a study to map physician decision-making processes for acute infection …

In type 1 diabetes management, maintaining nocturnal blood glucose within target range
can be challenging. Although semi-automatic systems to modulate insulin pump delivery …

Abstract Background Antimicrobial Resistance is threatening our ability to treat common
infectious diseases and overuse of antimicrobials to treat human infections in hospitals is …

Background A locally developed case-based reasoning (CBR) algorithm, designed to
augment antimicrobial prescribing in secondary care was evaluated. Methods Prescribing …

The decision on when it is appropriate to stop antimicrobial treatment in an individual patient
is complex and under researched. Ceasing too early can drive treatment failure, while …

Background Identifying patients at risk of dengue shock syndrome (DSS) is vital for effective
healthcare delivery. This can be challenging in endemic settings because of high caseloads …

Background Symptomatic dengue infection can result in a life-threatening shock syndrome
and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 and IgM are …

Background We developed a personalised antimicrobial information module co-designed
with patients. This study aimed to evaluate the potential impact of this patient-centred …

Background Bacterial infection has been challenging to diagnose in patients with COVID-19.
We developed and evaluated supervised machine learning algorithms to support the …

Objective To understand patient engagement with decision-making for infection
management in secondary care and the consequences associated with current practices …