Overview of elluminate Components

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Important: Access to components is based on assigned privileges and may be limited by role or configuration. 

Configuration and User Management

COMPONENT EXPLANATION
Audit Logs Audit Logs displays additions, modifications, and deletions to study data. Standard users can view their own actions in elluminate. Administrators can view the actions of all users.
Tasks Tasks schedules study activities, such as imports, exports, and data quality validations. Email notifications can also be scheduled to report the status of a task. 

Data Exploration and Visualization

COMPONENT EXPLANATION
Analytics Analytics provides visual and interactive displays of study data that support in-study and cross-trial reporting and analysis for authorized users. Analytics includes the Clinical Data Analytics (CDA), Clinical Trial Operational Analytics (CTOA), Sample Management Analytics (SMA), and Operational Oversight (OO) Analytics components applications.
Snapshots Snapshots captures data at the current point in time. The captured data can be accessed later from Exporter or within Analytics.

Data Governance and Metadata Management

COMPONENT EXPLANATION
Data Quality Data Quality validates the structure of data integrated into elluminate using Pinnacle 21 Validator. Access may be provided through the Validator module instead.
Define-XML Define-XML creates a Define-XML file from a specification.
eDrive eDrive manages data, documents, and unstructured source data for a study within the elluminate file system.
Global Library Global Library allows users to view and manage Global Library objects through a dedicated page that supports searching and filtering. Users with the Global Library Configure privilege can manage Global Library objects, including editing, approving, and making objects visible for import into studies. Objects can be promoted from Mapper and the Review Objectives list in the Integrated Data Review Plan to the Global Library. Objects can also be imported from the Global Library into a mapping and the Review Objectives list in the Integrated Data Review Plan.
Metadata Metadata analyzes the metadata associated with data integrated into elluminate to ensure the data are in the expected structures.
Specifications Specifications authors, views, and manages specifications for dataset mapping or exception listings for each study.
Validator Validator validates the structure of data integrated into elluminate.

Data Ingestion and Export

COMPONENT EXPLANATION
Data Sources Data Sources defines access to the data imported into elluminate. 
eForms eForms is used to enter data into elluminate that is not otherwise imported into elluminate, including data that is not collected through Electronic Data Capture (EDC) forms.
Exporter Exporter exports data from elluminate. Entire domains can be exported to various formats.
Importer Importer imports study data into elluminate. Data must be imported for study data to be available. Clinical and operational data can be imported.

Data Mapping and Computing

COMPONENT EXPLANATION
Mapper Mapper modifies data structures or formats to standardize and report data in a low-code environment.
Statistical Computing Environment (SCE) SCE provides a validated environment for data processing and statistical analysis using SAS, R, and Python. Users can develop, maintain, and execute programs and macros against data within the elluminate Clinical Data Cloud. SCE supports the production of submission and exploratory analysis outputs within and across studies in a transparent, auditable, reproducible, and secure environment. 

Data Review and Management

COMPONENT EXPLANATION
Data Central Data Central reviews, queries, and cleans study data imported into elluminate. It also provides access to the Integrated Data Review Plan (IDRP) for review planning and execution.
eIQ Review eIQ Review is an AI-enabled data review feature that conducts assisted data review within Data Central. Several models are available.
Issues Issues communicates and resolves inconsistencies, questions, and other issues created throughout the Platform.
Orchestrator Orchestrator facilitates data import and review by allowing users to create basic conditional rules. It identifies records that meet the defined rules, creates Issues on the specified fields, and closes Issues for records that no longer meet the rules. Orchestrator includes rule management, a dual condition-building experience, and the option to automatically open and close Queries in addition to the default Issues generation
Protocol Deviations Protocol Deviations manages protocol deviations by providing interfaces for configuring Global and Study Protocol Deviation Assessment Plans (PDAPs). It supports the application of these standards, assignment of review statuses, and access to Protocol Deviation data in Data Central for study oversight and compliance.

Operational Insights

COMPONENT EXPLANATION
Operational Data Repository (ODR) ODR ingests or allows manual entry of operational data into elluminate. Data are imported or added to the Operational Data Repository module. ODR is part of Operational Insights.
Operational Oversight Operational Oversight is a component within Analytics that provides a dashboard view of operational data. Operational Oversight is part of Operational Insights.

Risk Mitigation and Management

COMPONENT EXPLANATION
Risk Assessment and Categorization Tool (RACT) RACT supports risk identification, assessment, categorization, and review. RACT includes the ability to manage a global library of risk assessment questions, maintain study-specific risk tools, and review risk assessments conducted within elluminate.
Risk Based Quality Management (RBQM) RBQM monitors sites in an ongoing study to reduce risks in clinical development without compromising patient safety or data quality.
Risk Management Risk Management embeds RACT and RBQM in elluminate to operationalize ICH E6(R3) Good Clinical Practice (GCP) guidelines. RACT identifies and assesses risks to critical data and processes, while RBQM supports targeted, data-driven oversight and documented actions during study execution. Together, they support continuous, inspection-ready risk management aligned with regulatory expectations.

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