Clinical Data Services Spotlight Series | Q & A with Diane Lacroix In this first blog in a new series, spotlighting the work of our Clinical Data Services team, we sat down with Diane Lacroix, VP, Clinical Data Management at eClinical Solutions to explore how her team helps clients to tackle the toughest data challenges […]
As the volume, variety and velocity of clinical data continues to expand, data managers are spending more time managing external data sources, combining it with other data sources, and visualizing data holistically to spot outliers and identify quality issues. The majority of clinical trial data now comes from external or non-EDC data sources, and the […]
This webinar will share digital transformation lessons learned and business outcomes from adopting a clinical data cloud, including a 50% decrease in cycle time metric from Last-Patient-Last-Visit to Database Lock. The old saying of “the cobbler’s children go barefoot” can be applicable to many organizations, including those that deliver both software and services. How do companies […]
The graphical tools and reusability within Mapper remove the need for custom and ad-hoc programming – all within a fully compliant and auditable environment.
Wave Life Sciences Use Case
With elluminate Data Central, data managers and medical reviewers collaborate within the clinical data management software to quickly and effectively manage study data and resolve queries and other data issues.
Clinical Data Services from eClinical Solutions deliver an optimized offering for sponsors working in highly outsourced models in order to help companies maximize the value of their clinical data.
This webinar highlights how pharmaceutical companies like Karyopharm are employing new methods, business models and technologies for more effective data management outcomes in oncology. The discussion will include perspectives from the sponsor and provider highlighting experience-based best practices from eight trials, including defining a data strategy for improving the end to end clinical data acquisition […]