With financial resources becoming constrained, studies becoming more complex, and pressures to speed drugs to market intensifying, leveraging manual processes and spreadsheets for trial projections is no longer feasible. Here are six strategies for more accurate clinical trial forecasting and budgeting.
Just what is General Data Protection Regulation (GDPR) and how will it impact clinical trials? This article explores one aspect of GDPR, specifically, the right to be forgotten, and how it is implemented for the collection and use of clinical trial subject data.
A deep dive into why IT projects don’t always deliver the business benefits initially envisioned with complex, strategic business transformation initiatives, and how Oracle is addressing this delivery gap with a mechanism to measure customer success and satisfaction with our products.
As changes in safety regulations worldwide generate a significant increase in the number of clinical trial adverse event cases, the variety of big data sources that can be mined for safety signals is also rising. These trends translate into huge, new pressures on safety organizations as they continue to carry out their mission of multivigilance, a process covering the entire lifecycle of a medical product, from clinical trials through post-marketing surveillance. Currently,...
Publicly available DNA data and other personal medical information in the healthcare system can reveal highly sensitive knowledge about an individual. . As the volume of the data grows, the healthcare industry must address the data security challenges that arise to protect patient privacy, while maintaining the value that the information can offer to the healthcare system, itself.
Acronyms as evolution are part of just about every industry. As industries evolve, so do the short hand phrases representing their current trends. Sometimes, as these trends advance, sometimes the acronym itself becomes obsolete.
Enabling easy trial scaling, simple eSource aggregation, remote monitoring, and site-less trials, mHealth has the potential to change the face of clinical trials and speed life-saving drugs to market faster than ever before. Learn more.
To lower costs,shorten cycle times, and get life-saving medicines to patients sooner, the technology supporting clinical trials needs to be reimagined. Today, the power and efficiency of a cloud-based service environment offers the best hope to achieve faster, less expensive, more scalable trials.
Clinical Data managers are responsible for defining how clinical study data will be collected, and managed, in relation to the intake and quality of the data throughout the trial. While this sounds simple enough, it has become an increasingly challenging task due to changes in technologies, processes, regulations, and the growing complexity and diversity of the data.