Suchergebnisse

This article describes the application of principles applied in the development of a Masters programme in Public Administration in the Netherlands fifteen years ago to the design of a very different programme for senior managers in a UK public bureaucracy. Both programmes placed heavy emphasis upon the role of the manager as learner and on the importance of practical application as the most significant part of the learning process. Rather than teach techniques the development team offered a variety of well established frameworks by means of which participants were encouraged to develop their understanding of themselves, their organisations, their roles within them and the pressures for change arising within the environment of their organisation. The objective was not only to develop areas of managerial competence but, perhaps more significantly, to encourage the higher levels of confidence necessary to managing in an increasingly uncertain and pressured environment. A significant contributor to the achievement of this end was a concentration on those frameworks which had worked effectively in a wide variety of situations and circumstances rather than on more novel and, perhaps, more fashionable approaches.

The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency. The National COVID-19 Chest Imaging Database, led by NHSX, British Society of Thoracic Imaging, Royal Surrey NHS Foundation Trust and Faculty, is an example of such a national initiative. Here, we summarise the experiences and challenges of setting up the National COVID-19 Chest Imaging Database, and the implications for future ambitions of national data curation in medical imaging to advance the safe adoption of artificial intelligence in healthcare.

The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency. The National COVID-19 Chest Imaging Database, led by NHSX, British Society of Thoracic Imaging, Royal Surrey NHS Foundation Trust and Faculty, is an example of such a national initiative. Here, we summarise the experiences and challenges of setting up the National COVID-19 Chest Imaging Database, and the implications for future ambitions of national data curation in medical imaging to advance the safe adoption of artificial intelligence in healthcare.