Frequently asked questions

The Clinical Discovery Platform (CDP) connects clinical trial data collection, data management, analytics and AI in one governed environment. Built on Microsoft for Healthcare, it helps sponsors and CROs make better use of their clinical data across studies and over time.

Yes. CDP supports common organizational standards while accommodating differences in protocols, data sources and workflows. Study configurations can reflect how individual teams work while maintaining defined responsibilities and controls.

CDP can work with existing clinical data sources, technologies and preferred analytics tools. We begin by understanding your environment and identifying where integration, configuration or additional capabilities would support your priorities.

Yes. Traditional electronic case report forms and Zero Data Entry (ZDE™) can be used together. ZDE™ reduces manual transcription through automated source capture, integration and document intelligence. The appropriate combination depends on the protocol, participating sites and available data, with qualified people retaining review and approval responsibilities.

CDP can incorporate data from electronic health records, laboratories, devices, wearables, medical imaging and partner systems. We evaluate the available interfaces, formats and permissions to determine how each source should connect to your clinical data environment.

Yes. CDP can bring historical and current data into a private Clinical Data Lake for further analysis. Preserving source context, quality and permissions helps authorized teams explore questions across studies and make more of information already collected.

Authorized users can include executive leaders, clinical operations teams, medical teams, CRAs and investigators. They can ask questions in everyday language, with answers based on the data they are permitted to access. The available answers depend on that data’s quality, scope and context.

Qualified people remain responsible for interpreting findings, applying clinical judgment, and reviewing and approving work. AI can assist with activities such as data review, issue detection and evidence exploration within defined workflows and controls.

CDP uses role-based permissions and least-privilege principles to align access with each person’s responsibilities. These controls apply to the studies, sources and information people can use, including analytics and AI-assisted workflows.

Our approach starts with intended use, research requirements and organizational responsibilities. Documented quality practices guide development, testing, validation and change management. We work with your clinical, quality and IT teams to review relevant controls and identify the documentation needed for your evaluation.

We begin by understanding your processes, systems and research priorities. Together, we define the scope, responsibilities, data capture approach and integration needs. Work may include study configuration, eCRF design, edit checks, validation and site readiness.

Training is tailored to users’ roles, your workflows and study requirements, with online or onsite options. Ongoing support includes help for study teams and sites, system administration guidance, and recommendations for using CDP as your needs evolve.