Data Management

Webinar Date/Time: Tue, Nov 14, 2023 11:00 AM EST

Proper training can prevent oversight of inaccuracy, error, and variability rates in data from COAs.

Webinar Date/Time: Tue, Tue, Nov 28, 2023 11:00 AM EST

Webinar Date/Time: Tue, Oct 17, 2023 11:00 AM EDT

Accenture’s global life sciences technology lead discusses how the life sciences industry has embraced artificial intelligence.

Webinar Date/Time: Thursday, October 12th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Webinar Date/Time: Thursday, November 2nd, 2023 at 10am EDT | 7am PDT | 2pm GMT | 3pm CET

Webinar Date/Time: Wednesday, November 8th, 2023 at 11am EST | 8am PST | 4pm GMT | 5pm CET

Webinar Date/Time: Thursday, October 26th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Intended use must not replace the clinical decision-making process.

In this Q&A, Rohit Nambisan, CEO of Lokavant, and Craig Lipset, founder of Clinical Innovation Partners and Lokavant advisory board member, brief ACT on what current uses of real-world data and analytics can mean to clinical trial execution.

Webinar Date/Time: Tuesday, October 3rd, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Webinar Date/Time: Thursday, October 5th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Evidence from a Phase III cancer trial points to notable advances in data-transfer tech.

eCOA and PRO consortiums along with regulators gather for discussion on important data collection topics.

In this Q&A, Craig Serra, head of commercial solutions and partnerships within the clinical research business unit at Flatiron Health (affiliate of the Roche Group), shares his perspective on clinical research, the role of data, and Flatiron Health’s efforts to that end.

Using an AI + Human in the Loop (HITL) approach can be utilized for Study Data Tabulation Model (SDTM) transformation, potentially alleviating current challenges

Best practices in data re-identification and control when designing future trials.

Experts explore potential paths to achieving buy-in from pharma and regulators.

Since electronic data collection started to gain traction in the 1990s, terminology has evolved and is in need of greater clarity.

Even with exciting advancements, stakeholders must remain diligent in choosing data platforms.

The value of electronic patient-reported outcomes data in this disease setting.