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About MedSurv

MedSurv is a clinical data management software from MedSurv that supports various medical research activities. It combines data capture, SAE management, and remote monitoring to provide an all-in-one system for researchers. Certified eCRF since 2006, MedSurv ensures validated processes for clinical studies, non-interventional studies, patient registry, and post-marketing observational studies. This platform also facilitates randomization and document upload, making it a comprehensive solution for clinical data management. Key capabilities: MedSurv-Portal Clinical studies Non-interventional studies (NIS) Patient registry Post-marketing observational studies Best for: researchers and clinical trial managers that need an integrated approach to clinical data collection and management.

MedSurv Details

Vendor
MedSurv
Year Launched
2011
Location
Friedrich-Ebert-Straße 1, Windecken, Hessen 61130, DE
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Chinese
Users
Physicians, Nurses, Medical Researchers, Clinical Trial Coordinators.
Industries Served
Healthcare, Research, Clinical Trials, Pharmaceutical, Biotechnology
Tags
Electronic Data Capture

MedSurv's In-App Market Place

Does MedSurv have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), BRL (R$), CHF (CHF), SEK (kr)

Pros & Cons

  • Strong project management and personal support.
  • Fast response times and efficient communication.
  • User-friendly interface and highly adaptable.
  • Reliable, competent partner with certified quality.
  • Uncomplicated, quick implementation of changes.
  • No specific mention of data security protocols.
  • Pricing information is not provided.
  • Doesn't detail specific statistical analysis tools.
  • Limited information on integration with other systems.
  • No mention of offline data collection capabilities.

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