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Computers still struggle to understand the interdependency of objects in the scene as a whole, e.g., relations between objects or their attributes. Existing methods often ignore global context cues capturing the interactions among different object instances, and can only recognize a handful of types by exhaustively training individual detectors for all(More)
Given the rapid growth in health care spending that is often attributed to technological change, many private and public institutions are grappling with how to best assess and adopt new health care technologies. The leading technology adoption criteria proposed in theory and used in practice involve so called “cost-effectiveness” measures. However, little(More)
BACKGROUND Concerns with the usability of electronic prescribing (ePrescribing) systems can lead to the development of workarounds by users. OBJECTIVES To investigate the types of workarounds users employed, the underlying reasons offered and implications for care provision and patient safety. METHODS We collected a large qualitative data set,(More)
BACKGROUND Substantial sums of money are being invested worldwide in health information technology. Realising benefits and mitigating safety risks is however highly dependent on effective integration of information within systems and/or interfacing to allow information exchange across systems. As part of an English programme of research, we explored the(More)
BACKGROUND ePrescribing systems have considerable potential for improving healthcare quality and safety. With growing expectations about the benefits of such systems, there is evidence of widespread plans to implement these systems in hospitals in England where hitherto they have had a low uptake. Given the international drive away from developing(More)
Appropriately identifying and representing stakeholders' interests and viewpoints in evaluations of health information technology (health IT) is a critical part of ensuring continued progress and innovation in eHealth. This contribution therefore seeks to clarify the principles of stakeholder analysis in an eHealth context. We describe this with reference(More)
Future frame prediction in videos is a promising avenue for unsupervised video representation learning. Video frames are naturally generated by the inherent pixel flows from preceding frames based on the appearance and motion dynamics in the video. However, existing methods focus on directly hallucinating pixel values, resulting in blurry predictions. In(More)
OBJECTIVE To evaluate how an online toolkit may support ePrescribing deployments in National Health Service hospitals, by assessing the type of knowledge-based resources currently sought by key stakeholders. DESIGN Questionnaire-based survey of attendees at a national ePrescribing symposium. SETTING 2013 National ePrescribing Symposium in London, UK. (More)
BACKGROUND Hospital ePrescribing systems are expected to improve quality of care for patients, yet the perspectives of patients themselves have seldom been explored in the context of ePrescribing deployments. OBJECTIVE We sought to understand the significance of ePrescribing for patients through a case study of renal in-patients on a hospital ward, before(More)