Software Alternatives & Reviews

Clinical Trials Software

The best Clinical Trials Software based on votes, our collection of reviews, verified products and a total of 68 factors

  1. Electronic Data Capture

  2. A leading provider of software solutions to the global early development healthcare market for data collection, management and analysis across the R&D continuum

  3. Create mobile surveys easily to get real-time automated reporting, BizEfficiency provides the decision makers with detailed analysis and insights into the business.

  4. Entrypoint is a complete system for creating, deploying, and administering custom data entry applications, providing data entry and system administration access anywhere you are.

  5. Use the power of VKS to easily create and share work instructions,effectively transfer knowledge and become the smart factory of the future!

  6. Electronic Data Capture

  7. Castor offers you a user-friendly and fully featured application for electronic data collection.

  8. Full cycle product for R&D teams in Pharmaceutical Industry. The product includes eTMF, CTMS, Logistics and eDMS with eSignature support.

    paid Free Trial $90.0 / Annually

  9. The Number ONE iPad lead capture app. Use any mobile device, anywhere, even without WiFi. Ports directly into your CRM - Free Trial.

  10. Convert your forms to a smart mobile app that will efficiently collect all your business data.

  11. Metricwire helps organations measure real-world experiences to inform innovative treatments, services and policies that impact the outcomes people value.

  12. Clinevo Clinical Trial Remote Monitoring (RMS) is a web based & easy-to-use software enables companies to perform remote Source Data verification (rSDV) / Remote Source data review (rSDR) without having monitors travelling to the sites.

  13. Designed as an end-to-end, cloud-based solution, TrialKit applies the latest in technology to enable interchangeable use of browser-based and mobile app platforms—reflecting all changes from all sources in the database in real-time.


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Author: | Publisher: SaaSHub
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