Savana Clinical NLP

by Savana  · Based in Spain → — Transform healthcare by unlocking the full potential of Real-World Data through AI-powered, science-level Clinical NLP.
Oncology Pathology Radiology
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Regulatory Status Disclosed

Overview

Savana Clinical NLP (cNLP) is an AI-powered, API-first service (NLPaaS) designed to transform unstructured clinical notes into structured, analysis-ready variables for various healthcare use cases. Leveraging proprietary models trained exclusively on multilingual Electronic Health Records (EHRs), Savana cNLP achieves regulatory-grade precision and supports real-time integration into research and clinical workflows. It extracts clinically relevant information from diverse sources like clinical reports, radiology notes, and pathology reports, converting it into structured data points. This capability is crucial for generating deep Real-World Evidence (RWE), enhancing patient care, streamlining operations, and accelerating research. The platform is built with a privacy-by-design approach, including multilingual de-identification to ensure compliance with regulations like GDPR and HIPAA.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered Clinical Natural Language Processing (cNLP)
  • API-first service (NLPaaS) for seamless integration
  • Transforms unstructured clinical notes into structured, analysis-ready variables
  • Multilingual capability (English, Spanish, French, German, Portuguese, Italian)
  • Semantic mapping to medical ontologies (SNOMED CT, MedDRA, ICD-10, LOINC, OMOP, FHIR)
  • High accuracy (95%+) on diverse clinical texts
  • Real-time API integration for dynamic workflows
  • Flexible input handling (FHIR, plain text, PDFs with OCR support)
  • Optional Oncology Pack for specialized analysis (TNM staging, histology, mutation)
  • Multilingual de-identification engine for privacy and compliance

Use Cases

  • Generate regulatory-grade Real-World Evidence (RWE)
  • Enhance clinical research and patient journey mapping
  • Enrich datasets for pharmaceutical companies (e.g., external control arms, label expansions)
  • Validate digital biomarkers for MedTech
  • Support regulatory decision-making and submissions (EMA/FDA)
  • Accelerate feasibility assessments and patient recruitment for clinical trials

What Physicians Need to Know

Healthcare API Support (FHIR/HL7)
Savana Clinical NLP is an API-first service that accepts FHIR as input and can provide custom output formats including FHIR and OMOP. Its complementary tool, Savana Transformations, converts structured outputs into OMOP CDM or HL7-FHIR formats, ensuring interoperability. The Savana NGR (Next Generation Registry) also supports OMOP CDM and HL7-FHIR for immediate interoperability, and Savana Data Space offers FHIR Integration.
HIPAA-Compliant Infrastructure
Savana operates with a privacy-first mindset, utilizing a multilingual de-identification engine to ensure compliance with GDPR, HIPAA, and EHDS standards. The infrastructure is secure, federated, and cloud-native, purpose-built for healthcare, with built-in compliance, governance, and privacy-by-design controls. Savana has also achieved ISO 27001 certification for data security.
Clinical NLP Capabilities
Savana's AI-powered Clinical NLP (cNLP) transforms unstructured clinical notes from EHRs into structured, analysis-ready variables with high accuracy (95%+). It offers multilingual support for English, Spanish, French, German, Portuguese, and Italian. Capabilities include real-time processing of various clinical documents and semantic mapping to medical terminologies such as SNOMED CT, MedDRA, ICD-10, and LOINC. An optional Oncology Pack provides specialized modules for detailed oncology analysis.
De-Identification Tools
The Savana DeID Station is an intelligent multilingual pseudonymisation/anonymisation engine that safeguards sensitive data while preserving research value, fully compliant with GDPR, HIPAA, and EHDS. It features automated anonymisation and a 'Natural Privacy' system to protect individual privacy in generated databases.
Medical Terminology Support
Savana Clinical NLP integrates with and automatically maps extracted variables to recognized medical terminologies including SNOMED CT, MedDRA, ICD-10, and LOINC. This terminology-driven intelligence aids in consistent and high-quality variable definition.
Sandbox/Testing Environment
No specific sandbox or testing environment for developers is explicitly mentioned for Savana Clinical NLP in the provided information. The concept of regulatory sandboxes for healthcare AI is discussed generally in the search results, but not as a feature offered by Savana.
SDK Languages
While not explicitly stated for external SDKs, internal development at Savana shows advanced proficiency in Python, with experience in R, Java, and Scala being a plus, suggesting potential for integration using these languages.
Certification Program
There is no information available regarding a developer certification program specifically for Savana Clinical NLP. Mentions of 'NLP Certification' in search results refer to Neuro-Linguistic Programming, a different field.
Physician Tip

Physicians can leverage Savana Clinical NLP to unlock the vast amount of unstructured data in EHRs, transforming it into structured, actionable insights for research, improved patient care, and operational efficiency. The multilingual capabilities and robust de-identification tools facilitate secure, broader research collaborations and the generation of regulatory-grade Real-World Evidence. This can support clinical decision-making, accelerate patient identification for trials, and enhance disease burden analysis.

Savana Clinical NLP is designed as an API-first service, enabling seamless integration with existing EHR systems and other healthcare IT infrastructure. Its support for FHIR, HL7, and OMOP CDM ensures interoperability and facilitates data exchange with various registries, dashboards, and analytics workflows. This allows for the creation of a dynamic data ecosystem for comprehensive insights.

Details

Category Developer Tools & APIs, Drug Discovery & Research
Pricing Contact for pricing — Custom pricing based on enterprise needs; Contact for details.
DeploymentCloud-native, API-first SaaS service
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Savana Clinical NLP is used in studies supporting EMA/FDA submissions across multiple languages and has a strong track record supporting drug approvals, label expansions, and market access.
Integrations
EHR Not specified
Specialties Oncology, Pathology, Radiology

What the Web Says

Savana Clinical NLP is an AI-powered platform designed to extract and structure valuable insights from unstructured clinical notes within Electronic Health Records (EHRs). It aims to accelerate health science by providing regulatory-grade real-world evidence for hospitals, life sciences companies, and research networks. The technology has been validated in over 30 peer-reviewed studies across various medical fields and supports multiple languages.

Overall: Positive

Strengths

  • Transforms unstructured EHR data into structured, analysis-ready information, unlocking previously hidden insights.
  • Scientifically validated AI solution with high accuracy (95% NLP accuracy validated in peer-reviewed studies).
  • Multilingual capability, supporting English, Spanish, French, German, Portuguese, and Italian.
  • Enables generation of regulatory-grade real-world evidence for research, clinical workflows, and decision-making.
  • Integrates with medical ontologies like SNOMED CT and MedDRA.
  • Supports various use cases across hospitals, pharma, MedTech, regulators, and CROs.

Limitations

  • Some Reddit discussions suggest concerns about the authenticity of reviews for Savana products, with mentions of AI-generated images for 5-star ratings.
  • Capterra shows no user reviews specifically for Savana Clinical NLP, indicating a potential lack of public feedback on that platform.
  • Early challenges included a lack of a clear budget owner in hospitals for AI-powered medical record analysis, leading to a pivot towards pharmaceutical companies.

Based on reviews from: FeaturedCustomers, SavanaMed.com, ResearchGate, Slashdot, SourceForge, Reddit, Capterra, YouTube, pharmaphorum

Last updated: 2026-07-22

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Press & Coverage

Barcelona Health Hub
Savana joins Barcelona Health Hub
Savana, a provider of Clinical Data platforms and Artificial Intelligence, has partnered with Barcelona Health Hub to drive digital health innovation and adoption in the healthcare sector. This collaboration aims to leverage Savana's expertise to accelerate healthcare transformation.
2024-03
CDTI Innovation
The CDTI SICC Innvierte of Innovation invests, together with two coinversores, Savana (MEDSAVANA, S.L.) for the development of clinical data platforms and artificial intelligence machines that medical and research
CDTI Innovation, through its Innvierte program, has invested 4.56 million euros in Savana (MEDSAVANA, S.L.) for the development of clinical data platforms and AI machines. Savana's technology uses multilingual Clinical Natural Language Processing (cNLP) to harmonize large volumes of inaccessible information from electronic health records.
2025-06
Savana (Publications section)
Natural Language Processing of Unstructured Healthcare Data for Predicting Heart Failure in Individuals with Type 2 Diabetes
This peer-reviewed publication details the use of Natural Language Processing of unstructured healthcare data for predicting heart failure in individuals with Type 2 Diabetes. It highlights Savana's cNLP's ability to extract regulatory-grade real-world evidence.
2026-03
Savana (Publications section)
Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI)
This peer-reviewed study focuses on the development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records. It is another example of Savana cNLP powering scientific research.
2026-05
The SaaS News
Savana Raises $25 Million in Funding
Savana, a Madrid-based medical company utilizing AI to unlock clinical value from data, secured $25 million in funding. The investment, led by Conexo Ventures, will enhance data analysis capabilities and expand into new data layers like genomics and biomolecular data.
2022-04
Cathay Capital
Savana raises $25M to expand its Real World Evidence presence into the drug discovery space
Savana successfully closed a $25 million funding round to expand its Real World Evidence capabilities into drug discovery. The funding will also help consolidate its footprint in America and Western Europe.
2022-04
Private Equity Wire
Savana raises USD25m in funding round led by Conexo Ventures, Knuru Capital and Aldea Ventures
Savana, a global medical company leveraging AI for clinical data, completed a USD25 million funding round. The investment was led by Conexo Ventures, Knuru Capital, and Aldea Ventures, with existing investors also participating.
2022-04
pharmaphorum
The rise of real-world evidence: unlocking the potential in EHRs
This article discusses how Savana's AI and clinical Natural Language Processing (NLP) techniques are unlocking the clinical value in electronic health records (EHRs). It highlights Savana's role in the BigCOVIData study and its ability to harmonize data from various sources.
2021-03

Videos

Product demos, reviews, and walkthroughs for Savana Clinical NLP.

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Frequently Asked Questions

Savana Clinical NLP transforms unstructured clinical notes, such as discharge summaries and radiology reports, into structured, analysis-ready data. This enables physicians to gain deeper insights for patient journey mapping, enhance clinical decision support, and generate real-world evidence to inform care decisions.
Savana Clinical NLP is designed with privacy-by-design principles, including multilingual de-identification and pseudonymization engines, to ensure compliance with regulations like HIPAA, GDPR, and EHDS. Hospitals remain the data controllers, and Savana operates under strict Data Processing Agreements to safeguard sensitive patient information.
Unlike general-purpose LLMs, Savana Clinical NLP is specifically trained on multilingual Electronic Health Records (EHRs) and is scientifically validated for regulated healthcare use, offering deterministic and explainable results. This specialized training and validation ensure regulatory-grade precision for clinical and research workflows, differentiating it from broader AI tools.
Specific pricing details for Savana Clinical NLP are not publicly provided by the vendor, and interested parties are typically advised to contact Savana directly for a quote. While some sources mention a free trial might be available, this information is not consistently confirmed across all listings.
While Savana boasts high accuracy and robust compliance, a potential challenge can be the initial integration with existing diverse EHR systems and establishing clear organizational roles for leveraging such advanced AI tools. Ensuring continuous scientific validity and mitigating bias also requires ongoing validation and expert review.
Yes, Savana Clinical NLP is designed for seamless integration with various EHR systems, accepting flexible input formats such as FHIR, plain text, and PDFs with OCR support. It can process and structure 100% of EHR content, including free-text clinical narratives, and map extracted variables to standard medical terminologies like SNOMED CT and MedDRA.
Savana Clinical NLP ensures scientific validity through proprietary models trained exclusively on multilingual EHRs, achieving over 95% accuracy validated in peer-reviewed studies. The methodology includes independent clinical annotation, precision/recall benchmarks, and bias-mitigation frameworks to deliver regulatory-grade evidence.

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Suggest an Edit → | Last Verified: 2026-04-22 | First Added: 2026-04-22
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