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Healthcare
Providers:
Reuse Electronic Medical Records thanks to Natural Language Processing and transform them into actionable knowledge.
Life Sciences
Companies:
Collaborate in the creation of disease RWE allowing data to be easily reachable allowing best patient care in real time.
Healthcare
Providers:
Reuse Electronic Medical Records thanks to Natural Language Processing and transform them into actionable knowledge.
Life Sciences
Companies:
Collaborate in the creation of deep RWE allowing data to be easily reachable allowing best patient care in real time.
MACHINE LEARNING APPLIED TO MEDICAL RECORDS
Multi-language:
Savana data modelling is set up following the OMOP Common Data Model.
Savana is ISO 27001 certified, the global standard for information security management.
PEER-REVIEWED SCIENTIFIC JOURNALS PUBLICATIONS
WE TESTED OUR CAPABILITIES THROUGH REALITY CHECKS
Real-world evidence analysis of early-stage prostate cancer using natural language processing.
WHAT
A Real-World Evidence analysis of early-stage prostate cancer using natural language processing.
WHY THIS WORK IS REMARKABLE
Because in an area (early-stage prostate cancer) where RWE is lacking, 365 variables from almost 20.000 patients in 12 hospitals could be analyzed.
WHAT WAS THE CONSEQUENCE
There is now RWE in early-stage prostate cancer, including clinical characteristics, treatment patterns and journey across different prostate cancer stages; event-free survival could be analyzed in incident LPC patients with presence of Gleason or PSA and follow-up greater than 0 days.
WHAT THIS WORK DEMONSTRATES
Real-world evidence analysis of early-stage prostate cancer using natural language processing.
WHAT
A Real-World Evidence analysis of early-stage prostate cancer using natural language processing.
WHY THIS WORK IS REMARKABLE
Because in an area (early-stage prostate cancer) where RWE is lacking, 365 variables from almost 20.000 patients in 12 hospitals could be analyzed.
WHAT WAS THE CONSEQUENCE
There is now RWE in early-stage prostate cancer, including clinical characteristics, treatment patterns and journey across different prostate cancer stages; event-free survival could be analyzed in incident LPC patients with presence of Gleason or PSA.
WHAT THIS WORK DEMONSTRATES
GENERATING MULTIREGIONAL AND MULTILINGUAL RWE
9
Years experience in AI.
5 Billion
Clinical documents processed.
32
Different EMR systems handled.
36
Diseases in which we worked.
+100.000
AI-generated variables.
231
Researchers that investigated in our studies.
+20 Mill.
Unique patients
13
Countries.
5
Languages.
+250
Sites that participated in studies.
Top 25
Pharma RWE companies.
RWE STUDIES ACROSS 17 THERAPEUTIC AREAS AND 13 COUNTRIES
