Data Management

Whether unstructured patient diaries will be part of future clinical trials depends on three main factors, including answers around added value.

Streamlining electronic clinical outcome assessment and patient-reported outcome processes can aid in decreasing timelines.

The current clinical development model is shifting toward a generative AI-augmented proactive approach supported by real-world data for real time evidence.

Spearheaded by disease foundations, the creation of clinical registries is streamlining data collection and driving informed decisions.

Webinar Date/Time: Thursday, May 9th, 2024 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Webinar Date/Time: Tuesday, May 7th, 2024 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Webinar Date/Time: Thursday, May 2nd, 2024 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

As clinical trials continue to advance and evolve to include real-world data, their success is becoming ever more dependent on the quality of data.

Webinar Date/Time: Tuesday, April 30, 2024 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Because of drastic changes in the clinical trial space, there is a need for advancing and streamlining design through risk-based methodologies and innovations.

Although there are much larger problems in clinical research, storing obsolete study records is a totally unnecessary cost.

Industry leaders discuss how technology can help companies adapt to the regulatory changes and accomplish their DE&I goals.

Exploring ways to boost the adoption of eCOA provider-specific libraries—an often-frustrating migration process, but one with significant payoffs in simplified workflows and reduced timelines.

The FDA has taken a clear position with Project Optimus in shifting toward more progressive tailored approaches while rejecting antiquated study designs to evolve clinical trial strategies to better align with newer drug classes.

Webinar Date/Time: Tue, Mar 26, 2024 11:00 AM EDT

Agency reports concerns amid an increase in submitted data that has been fabricated, duplicated, or unreliable from third-party laboratories.

Many companies have implemented new technologies and are adopting clinical trial models that are more patient-centric.

Webinar Date/Time: Thursday, March 14th, 2024 at 11am EDT | 8am PDT | 3pm GMT | 4pm CET

Webinar Date/Time: Tuesday, March 12th, 2024 at 12pm EDT | 9am PDT | 4pm GMT | 5pm CET

Breakout session at SCOPE Summit 2024 discusses the potential use of artificial intelligence to improve clinical trial strategy generation.

Addressing challenges with eCOA at the site-level.

Webinar Date/Time: Wed, Mar 27, 2024 11:00 AM EDT

Leveraging a “diversity by design” approach can build patient narratives and optimize protocols from the onset.

Recent study tests the ability of machine learning to effectively classify patient safety event reports.

The pursuit of balance between data utility, privacy protection, and equitable representation.

By promoting the use of a standardized terminology and coding system, IDMP eliminates inconsistencies in regulatory processes.

Testing in humans in clinical trials and the regulatory approval process itself are candidates for technology solutions where artificial intelligence is playing a role.

Natural language processing models are able to automate the extraction of pertinent information from a vast array of scientific literature.

New machine learning technology combines artificial intelligence with automated experiments.

Because artificial intelligence use in healthcare is powered by patient data, it is imperative to guard privacy by verifying that security measures are in place to protect against any data breaches.