Empowerment Model:
An eCOA Subscription Model for Maximum Efficiency, Cost Savings, and Control

With increased attention on decentralized clinical trials, a growing number of sponsors and CROs plan to adopt direct data capture (DDC), eCOA, ePRO, and eConsent into their workflows. Several reputable vendors offer holistic eSource solutions. But what if you want to build and operationalize studies yourself?

For many drug developers, technology solutions and support services that allow them to build their own study — with their data, their team, their way — is all they need to execute an electronic data capture strategy.

A subscription-based model that provides the flexibility to use a variety of solutions and services, from ePRO and training, to help desk and translation support, enables companies to make the most of their internal resources and outsource less. This results in greater control of data to make immediate decisions based on real-time insights.

This model allows sponsors and/or CROs to:

• Bring more clinical trial functions in house
• Increase revenue by unleashing the full capabilities of internal teams
• Bring more visibility into study build and deployment to make decisions based on real-time insights
• Rapidly configure and deploy homegrown questionnaires with activity library access
• Simplify translations by using a built-in system function
• Rapidly accelerate speed to database lock

By licensing only the technology they have a desire to bring in-house, CROs reduce operating costs. They also have the potential to win new clients by offering eSource DDC, eCOA, and ePRO as a service — without acquiring a technology company to do it.

Sponsors that want more oversight of their data can gain the visibility needed to make critical decisions in the moment. At the same time, they can gain real-time data access to take control of their study.

As a first-of-its-kind subscription model, study build, translation and licensing questions remain. Register for this webinar today to get your questions answered and learn more about how this model for efficient data capture can deliver cost-savings and efficiency gains.