Best Clinical Data Management Systems

A Clinical Data Management System or CDMS is a tool used in clinical research to manage and store the data of a clinical trial. CDMS employ different means to validate clinical data and minimize errors due to human error caused by manual entry. It is often built-in to existing Clinical Trial Management Systems (CTMS) software, but more commonly, vendors in the space are offering these two components separately. Many CDMS platforms are designed to be...

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(1-25 of 67)

1
RSpace
0 reviews

Research Space offers software used to collaborate and communicate in a lab, helping research participants to create, analyze and present experimental data. Their ELN, RSpace, is designed for enterprise deployments at large academic institutions.

2
Zelta

Zelta is a cloud-based unified clinical data management and acquisition platform with customizable modules, that can be tailored to the meet the needs of clinical trials and accelerate outcomes.

3
hCue Clinical Management Software

  • hCue Clinic Management Software/Practice Management Software is a robust SaaS platform design…

4
Track.Health
0 reviews

Track.Health is presented as a one-stop shop for data acquisition for clinical studies or clinical trials. Capture EDC and eCOA data in a single, centralized platform. Implement remote enrollment, screening, eConsent, and data capture. Engage with patients via media-rich ePRO. Combine…

5
Reveleer
0 reviews

Reveleer is a healthcare software and services company that uses Machine Learning and Intelligent Automation technology to empower payers in all lines of business to take control over Quality Improvement and Risk Adjustment programs.

6
Decisio Health

Decisio Health is a digital health company with a configurable clinical decision support platform designed to aggregate and prioritize real-time data, from any device, and present it visually in one place.

7
VedaPointe
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The VedaPointe data ecosystem expands and enhances the exchange of clinical and administrative healthcare data.

8
Scopio Labs
0 reviews

Scopio Labs provides a cell morphology platform that enables diagnostic information through full-field scanning and the analysis of thousands of cells. in the detection and disease monitoring process.

9
Somnoware Healthcare Systems

Somnoware is a cloud-based platform for enhanced respiratory care management. The platform orchestrates data flow between disparate medical devices, unifies datasets within a single platform, and delivers high-impact analytics. The platform enables screening, faster diagnosis, proactive…

10
Quanta View
0 reviews

Quanta View, "The Clinical eBox" is a multi-function Web application (e-CRF and CTMS).

A modular, multi-lingual solution, it adapts to different study designs and boasts various functionalities. I…

11
CalciMedica
0 reviews

CalciMedica is a privately held, clinical stage biotechnology company with a platform focused on CRAC channel drug discovery and development for the treatment of acute and severe inflammatory diseases.

The Company was founded in 2007 by Ken Stauderman, CalciMedica’s Chief Scientific Officer, and colleagues at Torrey Pines Therapeutics in San Diego and Harvard’s Center for Blood Research in Cambridge, MA. Dr. Stauderman’s work includes the discovery of the role of STIM1, which works in conce…

12
G-Node (German Informatics Node)

Focusing on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordinating Facility (INCF) and the German Bernstein Network for Computational Neuroscience…

13
Accenture INTIENT

Accenture combines scientific and laboratory informatics expertise with strategic and business consulting capabilities, industry platforms, and global…

14
Saama
0 reviews

Saama offers clinical data management solutions. Saama’s Data Hub is a data ingestion solution for the clinical research industry, centralizing and standardizing high volumes of data from any source, used to eliminate manual data aggregation and reconciliation processes.

15
Dotmatics Enterprise Data Platform

Dotmatics offers the eponymous enterprise data platform that provides automated data management workflows. Dotmatics includes an electronic lab notebook (ELN), used to capture and store experiments and share them with internal and external collaborators in a single framework to support…

16
ThoughtSphere
0 reviews

ThoughtSphere’s stacked platform delivers what is presented as a streamlined and simplified solution for executing clinical trials by using AI to integrate and automate processes from data aggregation to the generation of validation-ready datasets.

17
Q-Centrix
0 reviews

Q-Centrix's mission is to allow for more efficient care of patients at the highest level of quality by giving hospitals visibility into outcomes so they can define a clear path to improved processes and enable better outcomes across the enterpr…

18
REDCap (Research Electronic Data Capture)

REDCap is a secure web application designed by Vanderbilt University to build and manage online surveys and databases in a research setting for universities. While REDCap can be used to collect virtually any type of data in any environment (including compliance with 21 CFR Part…

19
Intrinsic Clinical Trial Management System (CTMS)

Intrinsic’s CTMS clinical trial solution aims to provide a comprehensive, centralized end-to-end management solution for all clinical trials and includes all the needed applications for successful execution of CTMS clinical trial management. Intrinsic® CTMS is built with native…

20
Flex Databases

Flex Databases offers their clinical trial management system (CTMS) for storing and managing clinical data (e.g. subject, site, and experimenter information).

21
encapsia
0 reviews

Encapsia, developed by Cmed Technology streamlines the capture, management and reporting of clinical data. It uses a unified database to give you real time access to all clinical data with actionable insights for better decision making. With encapsia users can use any mix of eSource,…

22
XNAT
0 reviews

XNAT is an open source informatics for imaging research.

23
Medrio

Medrio offers solutions and support to pharmaceuticals, biotech, medical devices, and diagnostics, ensuring quality data capture and optimized workflows with CDMS/EDC, eCOA/ePRO, eConsent, and RTSM solutions.

24
Clinion EDC
0 reviews

Clinion EDC is an Electronic Data Capture System. The Electronic Data Capture (EDC) Software accelerates the speed of clinical trials by reducing deployment time, capturing data faster, timely study close-out, and early data loc, with the goal of providing data quality, integrity…

25
Dacima Survey

Dacima Software offers the eponymous DACIMA Survey ePRO electronic data capture and patient survey / e-diary solution.

Learn More About Clinical Data Management Systems

What are Clinical Data Management Systems?

A Clinical Data Management System or CDMS is a tool used in clinical research to manage and store the data of a clinical trial. CDMS employ different means to validate clinical data and minimize errors due to human error caused by manual entry.

It is often built-in to existing Clinical Trial Management Systems (CTMS) software, but more commonly, vendors in the space are offering these two components separately.

Features & Capabilities

Many CDMS platforms are designed to be very industry-specific or use-case-specific. For example, you will find CDMS tailored to use in trauma intake services, psychiatry studies, and/or pharmaceuticals development.

However, here are some key features to look for across CDMS platforms, regardless of their focus:

  • "At-a-glance" dashboards
  • Automated data validation
  • Data locking
  • Data lookups and intuitive search
  • Data reporting, built-in w/ customization options
  • Electronic data capturing (EDC)
  • Support for electrophysiological data
  • Exportation of data in various file formats
  • Interface with word processing/data entry software
  • Integration with related software, like CTMS
  • Support for neuroimage data

Clinical Data Management Systems Comparison

The deciding factors for choosing a CDMS platform are almost identical to that of choosing a CTMS. One of the key decision-makers for choosing a CDMS is whether you'd like to have a cloud or on-premise-hosted solution. Depending on your jurisdiction, regulations on subject rights and privacy may make this decision for you. Also, consider whether you'd like a CDMS specifically designed for your industry, they typically have standardized features that speak to your specific applications that can help with training and onboarding investigators and clinical trial managers. As you're reviewing the regulatory requirements for a CDMS when deciding your deployment style, make sure to verify with vendors that it will comply.

CDMS Pricing

As with CTMS, CDMS vendors offer free trials, but take note of costs associated with choosing a solution that's right for you: setup and implementation fees, integration fees, compliance fees, support fees, and the addition of added modules and considerations. On the lower-end, you can find CDMS software for around $20k/yr. You may save money both in the short-term and long-term by going with a CDMS that is already backed into an existing CTMS platform.

Frequently Asked Questions

What is Clinical Data Management?

Clinical Data Management refers to the collection and storage of data collected during clinical research. To obtain quality information that is complete and error-free, the process of collecting and handling research data is performed in compliance with regulatory standards.

What are examples of clinical data?

According to the University of Washington's Health Sciences Library, six main types of clinical data gets collected during trials or patient care:

  • Electronic health records
  • Administrative data
  • Claims data
  • Patient / Disease registries
  • Health surveys
  • Clinical trials data


How does one become a clinical data manager?

Clinical data managers handle all aspects of clinical or patient data collection and dissemination. They typically have Master's Degrees in life/health sciences, computer science, or engineering related to health services. Of course, clinical data managers are usually proficient users of CDMS and CTMS platforms.