The US Food and Drug Administration has registered 13 multiple sclerosis (MS) disease-modifying therapies (DMTs). The medications are not interchangeable as they vary in route of administration, efficacy, and safety profile. Selecting the appropriate MS DMT for individual patients requires shared decision-making between patients and neurologists. To reduce costs, insurance companies acting thro...

OBJECTIVE To assess US physicians' attitudes towards using shared decision-making (SDM) to achieve cost containment. DESIGN Cross-sectional mailed survey. SETTING US medical practice. PARTICIPANTS 3897 physicians were randomly selected from the AMA Physician Masterfile. Of these, 2556 completed the survey. MAIN OUTCOME MEASURES Level of enthusiasm for "Promoting better conversations wit...

BACKGROUND While integrated primary healthcare for the management of depression has been well researched, appropriate models of primary care for people with severe and persistent psychotic disorders are poorly understood. In 2010 the NSW (Australia) Health Department commissioned a review of the evidence on "shared care" models of ambulatory mental health services. This focussed on critical fac...

The practice of medicine links diagnosis to treatment. However, for many diagnosed conditions diagnosis and treatment may not affect health outcome. Examples include low-grade cancers that do not influence life expectancy or quality of life. Further, there is considerable uncertainty about the point along a biologic continuum where treatment should begin. Changes in diagnostic thresholds often ...

With the offer from cloud computing providers, scientists have the opportunity to utilize pay-as-you-go resources together with their own and shared resources. However, scientists need to decide which parts of their applications should be executed in cloud computing systems in order to balance the trade-off between cost, time and resource requirements. In this paper, we present a service for es...

Commercial off-the-shelf multi-core architectures could significantly reduce costs and timeto-market of hard real-time systems. However, due to the unpredictable interference on the shared memory, the worst case execution time is either non-deterministic or overly pessimistic. Typically, the pessimism originates from the conservative assumption of maximum interference for each memory access. Th...

Since 2001, cases of myelodysplastic syndromes (MDSs) have been tracked by cancer registries. Examining registry data in the USA, the reported age-adjusted incidence of MDS per 100,000 was 3.3 per year for 2001-2003 and 4.9 per year for 2007-2011, with increases likely a result of growing awareness of reporting requirements. However, active case-finding methods repeatedly demonstrate that popul...

We consider a shared store based on distributed shared memory (DSM), supporting persistence by reachability (PBR), a very simple data sharing model for a distributed system. This DSM+PBR model is based on distributed garbage collection (GC). Within a general model for DSM+PBR, we specify a distributed GC algorithm that is efficient and scalable. Its main features are: (i) independent collection...

Latency-sensitive applications like virtualized telecom and industrial IoT systems require a service for ultrafast state externalization to become cloud-native. In this paper we propose a distributed shared memory system, called DAL, which achieves the lowest possible latency by transparently co-locating individual data items with applications working on them. Upon changes in data access patter...