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.
Hospitals become part of an international research studies network:
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.
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.
7 years active and more than 1 billion clinical documents’ free-text processed
160+ healthcare providers in 15 countries