An RBM survey conducted in 2014 was repeated in 2016 in order to find out, how knowledge and practical experience with RBM have changed over that time period.
An increase in use of EHR systems at clinical investigative sites adds more expectations for clinical trial sponsors to comply by regulatory requirements.
Higher costs headline list of new challenges faced by CROs and sponsors.
An RBM survey conducted in 2014 was repeated in 2016 in order to find out, how knowledge and practical experience with RBM have changed over that time period.
Lessons learned from the recruitment of colorectal cander patients into clinical trials.
Sponsors and CROs are looking into implementation of a Risk Based Monitoring approach to their clinical trials to achieve the objectives related to enhanced data quality, better monitoring of patient safety, and creating efficiencies in overall operations.
Greater product value and innovation accomplished with sponsor-service relationships.
Recent analysis showed 81% of clinical trial sites using RBQM statistical data monitoring experienced an improvement in quality.
At the October Metrics in Patient Centered Drug Development conference hosted by DIA, many of these key constituents gathered to talk about how to implement and measure the impact of patient input.
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
The importance of applying change management techniques throughout the preparation, planning, and execution of RBM and RBQM approaches.
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
How the Clinical Development Design (CDD) Framework can offer repeatable, reusable clinical designs based on "enabling information."
The importance of applying change management techniques throughout the preparation, planning, and execution of RBM and RBQM approaches.
Webinar Date/Time: Thursday, June 26th, 2025 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST
Machine learning technology is finding it’s way into today’s marketplace, specifically within business processes, by driving insurmountable value for corporations within the life science industry, writes Adam Ross Miller.
This data analysis takes a look at how much experience US clinical investigators have.
Sponsors can streamline the design and execution of their clinical trials by following this three-step approach.
The ruling by the Pennsylvania Supreme Court requiring informed consent to be obtained by a medical doctor could set a precedent for future nationwide cases involving clinical research.
The ruling by the Pennsylvania Supreme Court requiring informed consent to be obtained by a medical doctor could set a precedent for future nationwide cases involving clinical research.
The ruling by the Pennsylvania Supreme Court requiring informed consent to be obtained by a medical doctor could set a precedent for future nationwide cases involving clinical research.
Sponsors should be aware of the significant implications the Addendum is likely to have on clinical trial planning, conduct, statistical analysis, and interpretation.