A brand new way of doing clinical research

Deep Real-World Evidence

Giving health care providers the power to unlock all of the clinical value embedded within existing Electronic. Medical Records applying Clinical Natural Language Processing (cNLP) and using a Scientific Methodology that is compatible with any Electronic Medical Record system.

A physician and data scientist task force-driven conversion of a DDBB based on a protocol in order to infer variables

The power of dRWE lies in the combination of advanced clinical Natural Language Processing and Machine Learning capabilities in a multilanguage and multisite setting, wrapped/packaged in a scientific methodology in which the clinician supervises all phases of the knowledge generation process.

1 - Research Ecosystem

Hospitals become part of an international research studies network:

2 - Scientific Methodology

Savana® has developed EHRead®, a technology based on the reuse of all the information (Big Data) contained in the EMR’s free-text through Natural Language Processing.

It applies cNLP and deep learning techniques to provide a large-scale, comprehensive system designed to automatically process and structure information from EMR’s free-text to support clinical research and practice.

Variables in 3 axys gif

3 - Knowledge

Big Data represents the perfect paradigm for the development of the Evidence-Based Medicine (EBM) being an effective mechanism not only to improve the quality of healthcare but to reduce clinical errors and variability in clinical practice.

Identify individuals in high-risk groups:

Identify prognostic factors of disease progression, affinity of the pharmacological treatments and foresight of health resources.

Why Savana?

Experience

7 years active and more than 1 billion clinical documents’ free-text processed

Research ecosystem

160+ healthcare providers in 15 countries

A safe partnership

Privacy statistical model, approved by Institutional Review Boards across multiple information systems

Reliable

Top Research Organizations Worldwide companies and Biotech dRWE ongoing projects

Multi-lingual

English, Spanish, German, French, Portuguese

First in class

Creators of a consistent research network of dRWE studies using AI and RWE

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Privacy Policy Summary

  • ControllerMedsavana S.L. (Calle Gran Vía nº30, planta 10, 28013 Madrid). Tax ID Code (C.I.F.): B87060943
  • PurposeManagement and provision of services, sending of commercial information and newsletter, responding to surveys and handling enquiries.
  • LegitimationExecution of services, consent of users, compliance with legal obligations and legitimate interest.
  • RecipientsNo data will be transferred to third parties unless legally required.
  • RightsAccess, rectification, erasure and other rights explained in the Privacy Policy.
  • AdditionalFor more information, please see our Privacy Policy.
*Required