What is different about Savana´s medical NLP?
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Clinical recordsfrom all sources
Draws from 185+ million records from the full range of healthcare sources:
- Private and public
- Primary and specialized care
- Hospitals and outpatient centers
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Differentialprivacy
Its statistical model, which, by design, guarantees confidentiality, satisfies the requirements of:
- Public hospital ethics committees
- The Spanish National Health Service
- US and EU Big pharma
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Whois using it now?
It is currently being used in 40+ hospitals and 9 Big Pharma institutions, assisting:
- Managers, with adherence to guidelines
- Hospitals, with drug evaluation
- Researchers, with observational and real-world data studies
Benefits
Highly valuable information can be extracted from electronic health records… but they are unstructured and written in natural language
Savana makes it possible for different healthcare professionals:
descriptive Big Data
- Evaluate healthcare outcomes
- Identify previously unknown correlations
- Integrate all data sources generated in clinical practice
- Effectively recruit patients to clinical trials
Predictive Big Data
- Predict clinical events
Prescriptive Big Data
- Make real-time decisions based on best practices
Technology
Savana’s EHRead Technology has become the first 100% medical linguistic engine capable of reusing free text
- Artificial intelligence
- Computational linguistics
- Natural language processing
- Machine learning, deep learning
- Proprietary terminologies based on international standards (SNOMED-CT, ICD, LOINC, MEDDRA, etc.)
- Semiautomatic validation by clinicians
- Integration with structured information
Compatibility
without integrations
- Savana works with any clinical document: reports, test results, prescription tools, etc.
- Its capacity to read plain text makes it compatible with any clinical record software, without the need for integration
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Reads
plain text -
Any clinical
document -
Compatible with
any software
Differential privacy
- Savana has a robust anonymization algorithm that ensures the elimination of personal data
- In all cases, clinical records are read within the institution. Data processing is never performed at individual level, only aggregate information is extracted
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Data protection
Secure code
