CLINICAL TRIAL PATIENT TECHNOLOGY INSIGHTS
-
Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test
A three-year ophthalmology coordinator on imaging integration, independent reading centers, and the one staffing problem no scheduling software has solved yet.
-
Why Clinical Trial Coordinators Are Still The Human API
A CRC who touches eight systems before lunch explains why clinical research’s biggest technology problem may be interoperability, not a lack of software.
ECOA RESOURCES
-
This guide offers a clear-eyed perspective on the current eCOA landscape, providing sponsors with actionable guidance to make confident, informed vendor choices.
-
This ebook describes how electronic clinical outcomes assessments (eCOA), mobile digital assessments, and other innovative data capture technologies are able to “meet patients where they are” in Parkinson’s Disease trials – with increasingly objective, sensitive, and continuous measures.
-
Explore the creation and implementation of the electronic versions of COAs (eCOAs) on a high priority study with a new client.
ECONSENT RESOURCES
-
Master protocol design trials require an endless stream of consent forms, adding time, cost, and risk. Learn how a feature-rich eConsent platform can simplify those processes and improve engagement.
-
Watch this webinar to see the latest eConsent workflow from recruitment, to pre-screening, to remote consent.
-
Despite the challenges associated with large volumes of data, maintaining quality and regulatory compliance, and enhancing patient engagement, the solutions for managing them can be simple and efficient.
EPRO RESOURCES
-
Explore four of the 15 system functionality considerations highlighted in an eCOA Consortium article that aim to create a more thorough and standardized approach to ePROM implementation.
-
Learn how digital solutions can contribute to a more participant-centered approach and potentially enhance the regulatory utility of PRO data while improving the overall quality and efficiency of oncology trials.
-
The Bring Your Own Device (BYOD) model, supported by Trialkit, is an innovative approach in clinical trials that allows participants to use personal smartphones or tablets for data collection.