John Snow Labs Solutions for the Public Sector
Spark NLP for Healthcare
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Run 300+ live demos and notebooks
State-of-the-art clinical & biomedical natural language processing
- Everything in the community edition +
- Clinical entity recognition
- Clinical entity linking
- Assertion status detection (negation detection)
- Relation extraction
- Healthcare-specific embeddings
- Entity resolution / normalization
- Link entities to standard terminologies such as SNOMED-CT, ICD-10, RxNorm, LOINC, ICD-O, or train to fit your own
- Designed for processing PHI: No data sharing or Internet connection needed
One-year annual license of Spark Natural Language Processing (NLP) for Healthcare for one server
Three-year license of Spark Natural Language Processing (NLP) for Healthcare for one server
Five-year license of Spark Natural Language Processing (NLP) for Healthcare for one server
One-year annual license of Spark Natural Language Processing (NLP) for Healthcare for one multi-node cluster
Three-year license of Spark Natural Language Processing (NLP) for Healthcare for one multi-node cluster
Five-year license of Spark Natural Language Processing (NLP) for Healthcare for one multi-node cluster
Spark NLP for Finance
State-of-the-art NLP for the Financial Industry, expert curated:
- Name Entity Recognition
- Extract Financial Relationships
- Normalization & Data Augmentation
- Classify Financial Text
- Financial Sentiment Analysis
- Financial De-identification
- Table Understanding
Spark NLP for Legal
State-of-the-art NLP for Legal documents, expert curated:
- Name Entity Recognition
- Extract Legal Relationships
- Normalization & Data Augmentation
- Legal Clause Classification
- Information Extraction on Clauses
- Legal De-identification
Visual NLP
Scalable, private, and highly accurate Visual NLP and de-identification
- Object character recognition
- Image enhancement & pre-processing
- Annotate & generate PDF documents
- De-identify tables, free text & images
- Image processing algorithms for Visual NLP from low-quality documents
- Support text, PDF, image & DICOM files
- Identify image regions & coordinates
- Identify sensitive data based on HIPAA, CCPA, GDPR, or custom requirements
- De-identify fields by deletion, masking, obfuscation, or generalization
One-year annual license of Visual NLP for one server
Three-year license of Visual NLP for one server
Five-year license of Visual NLP for one server
One-year annual license of Visual NLP for one multi-node cluster
Three-year license of Visual NLP for one multi-node cluster
Five-year license of Visual NLP for one multi-node cluster
Annual 24x7 Tier-1 & Tier-2 Support via Phone, Email & Web for part number 501-x (price charged annually)
Annual 24x7 Tier-1 & Tier-2 Support via Phone, Email & Web for part number 502-x (price charged annually)
Annual 24x7 Tier-1 & Tier-2 Support via Phone, Email & Web for part number 503-x (price charged annually)
Annual 24x7 Tier-1 & Tier-2 Support via Phone, Email & Web for part number 504-x (price charged annually)
Training Live online training for up to 12 data scientists includes Spark NLP certification exam
Data Scientist: modeling development work using John Snow Labs products priced hourly
Annotator: document annotation for training John Snow Labs products priced hourly
Data Engineer: integration and deployment work with John Snow Labs products priced hourly
De-identification
- State-of-the-art accuracy
- 33 types of entities in pre-trained models
- Easy to fine tune & custom train for additional entities
- Supports text, tables, PDF, DICOM, docx, etc.
- Support multiple languages
- Entities removal: obfuscation, masking, identification
Clinical data abstraction
- Extract data from unstructured text to create structured form documents
- Complete projects accurately 4x faster than manual abstraction
- End-to-end service or a library
Clinical Trial Master File (eTMF) system
Expand capabilities of any eTMF system
- Semantic search:
- AI/NLP based - Automatic handling of synonyms, Handling of misclassified documents
- Handling human errors - Documents accidentally saved on the wrong place & Misclassified documents, typos; Mismatch between extracted metadata & content of the document; Duplicates
- Automatic document classification based on the content
- Extraction of metadata with automatic accuracy and confidence estimation
- Migration from one eTMF system to the other
- Clinical Note Summarization
- Clinical Entity Recognition
- Extracting ICD-10-CM Codes
Clinical Text
Signs, Symptoms, Treatments, Findings, Procedures, Drugs, Tests, Labs, Vitals, Sections, Adverse Effects, Risk Factors, Anatomy, Social Determinants, Vaccines, Demographics, Sensitive Data
Biomedical Text
Clinical Trial Design, Protocols, Objectives, Results; Research Summary & Outcomes; Organs, Cell Lines, Organisms, Tissues, Genes, Variants, Expressions, Chemicals, Phenotypes, Proteins, Pathogens
Information Extraction
- Document Classification
- Entity Disambiguation
- Contextual Parsing
- Patient Risk Scoring
Data Obfuscation
- Name Consistency
- Gender Consistency
- Age Group Consistency
- Format Consistency
Clinical Grammar
- Deep Sentence Detector
- Medical Spell Checking
- Medical Part of Speech
- Terminology Mapping
Zero-Shot Learning
- Entities by Prompt
- Relations by Prompt
- Classification by Prompt
- Relative Data Extraction
Chat with a Medical Generative AI that explains its answers, cites references, updates medical knowledge daily, and lets you add and choose knowledge bases.
Enterprise
- Private for your Team & Data
- Private On Premise Deployment
- Unlimited Custom Knowledge Bases
- Connect Your Own Data Sources
- Custom Brand Voice and Safeguards
- Unlimited Users and Groups
- Role Based Access Management
- Single Sign-On
- API Access
- Designed to Scale