Key ethical challenges in the European Medical Information Framework

The European Medical Information Framework (EMIF) project, funded through the IMI programme (Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115372), has designed and implemented a federated platform to connect health data from a variety of sources across Europe, to facilitate large scale clinical and life sciences research. It enables approved users to analyse securely multiple, diverse, data via a single portal, thereby mediating research opportunities across a large quantity of research data. EMIF developed a code of practice (ECoP) to ensure the privacy protection of data subjects, protect the interests of data sharing parties, comply with legislation and various organisational policies on data protection, uphold best practices in the protection of personal privacy and information governance, and eventually promote these best practices more widely. EMIF convened an Ethics Advisory Board (EAB), to provide feedback on its approach, platform, and the EcoP. The most important challenges the ECoP team faced were: how to define, control and monitor the purposes (kinds of research) for which federated health data are used; the kinds of organisation that should be permitted to conduct permitted research; and how to monitor this. This manuscript explores those issues, offering the combined insights of the EAB and EMIF core ECoP team. For some issues, a consensus on how to approach them is proposed. For other issues, a singular approach may be premature but the challenges are summarised to help the community to debate the topic further. Arguably, the issues and their analyses have application beyond EMIF, to many research infrastructures connected to health data sources

The launch of the European Institute for innovation through health data

The European Institute for Innovation through Health Data (i~HD) has been formed as one of the sustainable entities arising from the Electronic Health Records for Clinical Research (EHR4CR) and SemanticHealthNet projects, in collaboration with other European Commission projects and initiatives. The vision of i~HD is to become the European organisation of reference for guiding and catalysing the best, most efficient and trustworthy uses of health data and interoperability, for optimizing health and knowledge discovery.i~HD has been established in recognition that there is a need to tackle areas of challenge in the successful scaling up of innovations that rely on high-quality and interoperable health data, to sustain and propagate the results of eHealth research, and to address current-day obstacles to using health data. i~HD was launched at an inaugural conference in Paris, in March 2016. This was attended by over 200 European clinicians, healthcare providers and researchers, representatives of the pharma industry, patient associations, health professional associations, the health ICT industry and standards bodies. The event showcased issues and approaches, that are presented in this paper to highlight the activities that i~HD intends to pursue as enablers of the better uses of health data, for care and research

DYNAMIC ABC STORAGE POLICY IN ERRATIC DEMAND ENVIRONMENTS

The paper describes a dynamic variant of the traditional ABC storage policy. The variant is to be used in manual order picking warehouses where SKUs experience a rather unstable demand. Its objective is to reduce the order picking time. It mainly consists in shifting items between the storage areas A, B and C according to the way their daily number of order lines changes. A few case studies based on computer simulations have shown that this variant can yield interesting time savings if its parameters are chosen with care. One of those case studies is presented in this paper. Because of the pioneering nature of this variant, some ideas for further research are also sketched