Centralize clinical data management workflows and review - Data Central (2024)

Centralize and simplify data review and management

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Fact Sheet

30-minute intro to elluminate Data Central

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Integrated data review and management — from any data source

elluminate® Data Central brings together all of the data associated with your trial into a single, central system for clinical data management and review — from any data source.

AI-enabled Data Review with eIQ Review

Seamlessly integrated with Data Central, eIQ Review provides AI-enabled review capabilities for data managers and reviewers to ensure data integrity in a more efficient, scalable way. With AI-enabled data review capabilities, you can improve data quality, increase the speed of review, and reduce manual efforts.

eIQ Review

Save Time with Integrated Data Review

With Data Central, data managers and medical reviewers collaborate within the clinical data management software to quickly and effectively manage study data and resolve queries and other data issues. Produce a high-quality database using in-stream data review – without having to access multiple disparate systems, spreadsheets and listings.

  • Raise and process EDC queries directly in Data Central
  • Review CRF data, listings, exception reports, and patient profiles
  • Quickly identify data changed since the last review by role, to flag for re-review

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Improve Data Quality with Actionable Analytics

Data Central analytics facilitate targeted data reviews based on roles and automatically highlight areas needing attention, such as long-outstanding queries. Analytics in one centralized clinical data review and management system eliminates the need to create and distribute multiple data exports, reducing the risk of introducing errors.

  • Drill down to source data and raise issues directly from within the visualization
  • Create and access customizable graphical patient profiles including single and ongoing events, lab data, etc.
  • Focus on the right data for the tasks, not on assembling data sources

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Role-Based Review to Manage Data More Effectively

Data Central gives teams one role-based clinical data management system for integrated data review. A holistic view of the study for data, query, and issue statuses provides you with earlier insight into potential areas to address, so you can be proactive and data-driven.

  • Review data and listings according to role in the clinical data management software
  • Track records that have been reviewed by role and records updated since last review
  • Monitor and track issues by due date, assignee, site, subject, data domain and more

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elluminate helps me focus more on strategy and less on the piece by piece data review, so I can look at the bigger picture. It also helps build better relationships within my company because I can provide the medical group and the safety group with what they need quickly and make sure that it’s accurate.

Elizabeth ThompsonAssociate Director, Clinical Data Management, Sarepta Therapeutics

FAQ

What is elluminate Data Central?

Data Central is a module within the elluminate Clinical Data Cloud that provides users with access to real-time clinical data from numerous sources. This centralized access provides greater visibility into data, and allows for faster, more efficient data management and data review processes. Users can access robust pre-programmed listings, patient profiles, visualizations, and review, add, or address issues and generate queries. Once reviewed, data does not show again unless it has been changed or new data added – streamlining the review process.

How quickly can Data Central be deployed?

The initial configuration of Data Central can be completed within a matter of days. Some features such as graphical patient profiles or exception listings can take additional time to populate, but no longer than a matter of weeks.

Will Data Central work with my existing clinical data infrastructure?

The elluminate clinical data cloud is system agnostic, and therefore capable of ingesting and aggregating data from any source regardless of file type or system. Data Central can expose raw and standardized data for review.

Is Data Central easy to use?

Yes, Data Central is designed to be user friendly and easy to adopt. In addition, the system removes burdensome manual efforts & guesswork, improving user experience. Using this module allows for rapid review of critical data instead of trying to sift through and find problem areas.

How often can the data be refreshed?

Data refreshes are completely configurable within Data Central. Users can also export data on an ad hoc basis depending on system permissions through elluminate.

Can users mark and/or comment on records or listings?

Yes, users can mark and/or comment on listings depending on system permissions. Additionally, listings created within Data Central can be configured to require review from a particular user, role, or number of users. Comments and queries are visible to other users, preventing duplicate efforts.

Who in my organization benefits from Data Central?

elluminate Data Central provides a wealth of benefits to numerous roles, including data managers, medical monitors, clinical scientists, and clinical operations. Additionally, Data Central benefits both insourced and outsourced models, allowing for more efficient resource and personnel management and greater oversight of CRO or third-party activities.

Are patient profiles available within Data Central?

Yes, graphical and Excel-based patient profiles are immediately available to users following initial configuration. Additionally, users can create graphical patient profiles for their own use or to share with team members.

Are all actions within Data Central captured in an audit trail?

Yes, elluminate is fully compliant with 21CFR Part 11 and ensures data privacy and security in accordance with global regulatory requirements. Applicable reports can be accessed within the system or exported for inclusion within trial master files or other documentation.

Discover Resources

The elluminate Clinical Data Cloud ExplainedWebinars
Harnessing the Power of AI/ML and Risk-informed Strategies to Streamline Clinical Data ManagementEbooks
Life Sciences Clinical Data and Analytics Platforms PEAK Matrix Assessment 2023Analyst Reports

See Other Products

eIQ ReviewAI-enabled clinical data reviewEnsure data integrity in a more efficient, scalable wayLearn more
Risk-Based Quality ManagementTransform numerous data streams into actionable analytics and insightsEnables active oversight and improve trial complianceLearn more
Clinical AnalyticsClinical and operational analytics across sourcesInsights across all your dataLearn more
Centralize clinical data management workflows and review - Data Central (2024)

FAQs

What is the clinical data management flow process? ›

The workflow starts when the CDM team generates a case report form (CRF) and ends when the database locks. The data manager executes quality checks and data cleaning throughout the workflow. This stage comprises the design of the CRF, which guides data collection. The database should have space for the study data.

What are the three phases of clinical data management? ›

Clinical Data Management (CDM) is a critical phase in clinical research which results in collection of reliable, high-quality and statistically sound data. It consists of three phases i.e. start up, conduct and close out.

What is data review in clinical data management? ›

Sometimes referred as data validation, clinical data review is part of the overall study monitoring strategy. It should not be confused with, or limited to, on-site monitoring because it is much broader – it is the act of overseeing the clinical trial, not just the investigational sites.

What is the CDM process? ›

Clinical data management (CDM) is the process of collecting and managing research data in accordance with regulatory standards to obtain quality information that is complete and error-free.

What is the clinical workflow process? ›

Clinical workflow is aimed at improving the functionality of the healthcare system and with the ultimate purpose of streamlining the process and offering patients the best health experience possible, Clinical Workflow focuses on how processes are performed in both administrative and operational ways.

What is the first step in the clinical data management process? ›

A Case Report Form (CRF) is designed by the CDM team, as this is the first step in translating the protocol-specific activities into data being generated. The data fields should be clearly defined and be consistent throughout.

What are the 4 pillars of data management? ›

To establish a robust data governance framework, organizations often rely on four key pillars: Data quality, data stewardship, data protection and compliance, and data management. Let's explore each of these pillars and their role in ensuring comprehensive data governance.

What are the 4 steps of data management? ›

Specifically, there are four major pillars to keep in mind for good data management: Strategy and Governance, Standards, Integration, and Quality.
  • Data Strategy and Governance.
  • Data Standards.
  • Data Integration.
  • Data Quality.
  • Learn more about our solutions.

What software is used in CDM? ›

There are various software tools available for CDM, such as:
  • Clinical Data Management System (CDMS)
  • Electronic Data Capture (EDC)
  • Clinical Trial Management System (CTMS)
  • Electronic Patient Reported Outcomes (ePRO)
  • Randomization and Trial Supply Management (RTSM)

What is data review process? ›

Data Review is the process of collecting data, reflecting on it, and distilling it into actionable insights. This process is how you can turn data into knowledge and knowledge into action.

What skills do you need to be a clinical data manager? ›

Computers: Clinical data management positions often require computer skills, as these professionals use computer software to collect and interpret data. Problem-solving: A clinical data manager typically uses problem-solving skills to manage issues that arise during data collection.

What does a clinical data reviewer do? ›

The CDR has comprehensive knowledge and understanding of the therapeutic area under study and uses that knowledge to ensure that patient data are scientifically and clinically valid.

What is CDM in simple words? ›

The Clean Development Mechanism (CDM) is a United Nations-run carbon offset scheme allowing countries to fund greenhouse gas emissions-reducing projects in other countries and claim the saved emissions as part of their own efforts to meet international emissions targets.

What is the CDM cycle? ›

The CDM is a project based mechanism. • This is different from a sectoral based mechanism, like NAMAs. • CDM Project cycle refers to the different stages a project activity must undergo before it may be issued with CERs.

What are the stages of CDM? ›

Pre-Construction. Construction. And Post-Construction. And there are CDM duties to complete at each stage of the project.

What is the process of dataflow? ›

Dataflow is a managed service for executing a wide variety of data processing patterns. The documentation on this site shows you how to deploy your batch and streaming data processing pipelines using Dataflow, including directions for using service features.

What is data management flow? ›

The data management process includes a wide range of tasks and procedures, such as: Collecting, processing, and validating data. Integrating different types of data from disparate sources, including structured and unstructured data. Managing the quality of the data to adhere to business standards.

What is the MDM process involves? ›

Master data management (MDM) involves creating a single master record for each person, place, or thing in a business, from across internal and external data sources and applications. This information has been de-duplicated, reconciled and enriched, becoming a consistent, reliable source.

What is the flow of data process? ›

the route that data takes between the external entities, processes and data stores. It portrays the interface between the other components and is shown with arrows, typically labeled with a short data name, like “Billing details.”

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