Hidden labour: the skilful work of clinical audit data collection and its implications for secondary use of data via integrated health IT.

Background: Secondary use of data via integrated health information technology is fundamental to many healthcare policies and processes worldwide. However, repurposing data can be problematic and little research has been undertaken into the everyday practicalities of inter-system data sharing that helps explain why this is so, especially within (as opposed to between) organisations. In response, this article reports one of the most detailed empirical examinations undertaken to date of the work involved in repurposing healthcare data for National Clinical Audits.

How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation.

Introduction: National audits are used to monitor care quality and safety and are anticipated to reduce unexplained variations in quality by stimulating quality improvement (QI). However, variation within and between providers in the extent of engagement with national audits means that the potential for national audit data to inform QI is not being realised. This study will undertake a feasibility evaluation of QualDash, a quality dashboard designed to support clinical teams and managers to explore data from two national audits, the Myocardial Ischaemia National Audit Project (MINAP) and the Paediatric Intensive Care Audit Network (PICANet).

Case reports of diagnostic error: liposarcoma mistaken for hematoma in an obese female with concurrent ipsilateral thrombosis on rivaroxaban.

We report the case of a morbidly obese 49-year-old female found to have a 16×14×10 cm high grade myxoid liposarcoma of the thigh initially diagnosed as a hematoma. Recent initiation of rivaroxaban for a coincident ipsilateral popliteal vein thrombosis placed hematoma high in the differential diagnosis. Despite its large size, the mass was not directly appreciable on physical exam due to excess adjacent adipose tissue.