John Snow Labs

John Snow Labs Helping healthcare and life science organizations put AI to work faster with state-of-the-art LLM & NLP.

John Snow Labs, an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects. John Snow Labs, the AI for healthcare company, provides state-of-the-art software, language models, and data to help healthcare and life science organizations build, deploy, and operate AI, LLM, and NLP projects faster.

🚀 Introducing Vision OCR Structured LLMWe’ve just released our most advanced production OCR model yet — designed for ent...
03/02/2026

🚀 Introducing Vision OCR Structured LLM
We’ve just released our most advanced production OCR model yet — designed for enterprises that demand maximum accuracy, structured extraction, and cost efficiency at scale.
If your workflows process 10K+ documents per day, this model was built for you.
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🏆 Industry-Leading OCR Performance
✅ 90% accuracy on OCRBench — highest in its class
✅ 20.3 Character Error Rate on FUNSD
➡️ Translating to 79.7% field-level structured accuracy
✅ Handles 25+ languages
✅ Superior performance on charts, diagrams, and complex layouts
This is not generic OCR — it’s optimized for structured extraction in production environments.
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🧠 Built for Structured Intelligence
Where most OCR models stop at text extraction, this model excels at:
• Superior JSON generation from complex layouts
• Advanced table extraction with structure preservation
• Robust nested table & hierarchical data handling
• Reliable key-value extraction from degraded or ambiguous documents
• Strong chart and visualization comprehension (91–93%)
It’s purpose-built for financial, medical, legal, and technical documentation.
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⚙️ Performance Meets Efficiency
• 30B parameters with only 3B active per inference (Mixture-of-Experts)
• 32K context window for multi-page processing
• Up to 8MP / 4K image support
• 4× inference speedup via optimized deployment architecture
The result?
Enterprise-grade accuracy with controlled computational cost.
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🏭 Production-First Design
✔ Most cost-efficient enterprise OCR option at scale
✔ Handles degraded scans and varying document quality
✔ Optimized for document management system integration
✔ Designed for high-volume automated pipelines
From invoices and contracts to medical records and technical diagrams — this model delivers reliable structured outputs you can trust.
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If your organization requires production-grade structured document intelligence on AWS, this model is ready: https://hubs.li/Q0452WZ20

HIMSS 2026 is around the corner.John Snow Labs will be onsite at Carahsoft Booth #6424, connecting with healthcare lead...
03/02/2026

HIMSS 2026 is around the corner.

John Snow Labs will be onsite at Carahsoft Booth #6424, connecting with healthcare leaders who are operationalizing AI across clinical, revenue cycle, and research workflows.

Healthcare AI is moving from pilots to production.

The real questions now are:
 How do we ensure traceability and auditability?
 How do we deploy securely — on-premise or in private environments?
 How do we align LLM performance with regulatory requirements?
At HIMSS, we’ll be discussing:
• Clinical and generative AI in production environments
• Medical large language models built for healthcare
• Human-in-the-loop validation and governance
• Revenue cycle optimization with AI
• Patient Journey Intelligence for regulatory-grade RWE

If you’re planning your HIMSS schedule, you can secure time with our team in advance here:
https://hubs.li/Q0452NYs0

We look forward to meaningful, practical conversations about AI that works in real healthcare environments.

How clearly can you see the full patient journey across your organization?From first contact to follow-up care, patient ...
03/02/2026

How clearly can you see the full patient journey across your organization?
From first contact to follow-up care, patient data is fragmented across systems, departments, and formats.

The Patient Journey Intelligence (PJI) Platform helps healthcare organizations:
• Connect structured and unstructured clinical data
• Map longitudinal patient journeys
• Identify delays, drop-offs, and care gaps
• Generate actionable operational insights

Instead of siloed analytics, PJI provides a unified view of how care is delivered — and where improvement is possible.

Explore the platform:
https://hubs.li/Q0452NLx0

Benchmarking Medical vLLMs: 10 Clinical Use Cases for Automated Document UnderstandingUnstructured visual data remains o...
03/01/2026

Benchmarking Medical vLLMs: 10 Clinical Use Cases for Automated Document Understanding

Unstructured visual data remains one of healthcare’s largest automation gaps.

From handwritten intake forms to pathology slides, critical information often sits locked in images — slowing workflows and increasing manual review costs.

In this webinar, we introduce new benchmarks for John Snow Labs’ Medical Visual Language Models (vLLMs) and present a comparative evaluation across 10 real clinical use cases, including:
• Visual de-identification of scanned forms
• Handwritten prescription extraction
• Radiology archive semantic search
• ECG waveform digitization
• Longitudinal multimodal case synthesis
You’ll see zero-shot structured extraction results across medical modalities — producing regulatory-grade JSON in seconds.

If document automation, multimodal AI, or clinical decision support are on your roadmap, this session will provide measurable performance insights.

Register now:
https://hubs.li/Q0452MzZ0

Can AI move from pilots to real impact in healthcare?That’s the core focus of the Applied Healthcare AI Summit 2026.This...
03/01/2026

Can AI move from pilots to real impact in healthcare?

That’s the core focus of the Applied Healthcare AI Summit 2026.

This event brings together healthcare executives, data scientists, and clinical leaders to address:
• Deploying AI in regulated environments
• Integrating LLMs into clinical workflows
• Measuring ROI beyond experimentation
• Ensuring compliance and explainability

The conversation is shifting from “what’s possible” to “what works in production.”

See the agenda and secure your spot:
https://hubs.li/Q0452Kfd0

Quick registration via LinkedIn: https://hubs.li/Q0452KYV0

Stop relying on public LLMs for clinical workloads. In healthcare, the margin for error is zero, and the cost of a data ...
02/28/2026

Stop relying on public LLMs for clinical workloads. In healthcare, the margin for error is zero, and the cost of a data breach is too high.

Generic models hallucinate, misinterpret complex clinical contexts, and compromise PHI. Enterprise-grade Healthcare AI demands models engineered with domain mastery and guaranteed compliance.

John Snow Labs delivers specialized Medical LLMs built for clinical certainty:

• Guaranteed Accuracy: Trained exclusively on curated, specialized medical literature and proprietary EHR data, achieving unmatched clinical fidelity.

• Regulatory Confidence: Engineered for PHI security and explainability, supporting HIPAA-compliant deployment on-premise or in your private cloud.

• Deep Context: Handles complex tasks like differential diagnosis, adverse event summarization, and medical coding with native understanding of RxNorm, SNOMED, and ICD codes.

Demand clinical-grade intelligence. Test the performance difference in our live environment now.

🔗 Try our Medical LLMs Live Demo:

https://hubs.li/Q044V1kx0

Manual abstraction of oncology records is time-consuming, labor-intensive, and prone to variability. Our oncology pipeli...
02/28/2026

Manual abstraction of oncology records is time-consuming, labor-intensive, and prone to variability.

Our oncology pipeline automates data extraction in alignment with SEER and NAACCR standards, enabling teams to:

• Populate cancer registries faster while maintaining high data quality
• Ensure consistent, standards-compliant structured data across patient records
• Scale operations without sacrificing precision or reliability

Drive efficient, auditable, and reproducible oncology data workflows to support research, reporting, and clinical decision-making at scale.

Learn more: https://hubs.li/Q044TW9w0

The bottleneck in healthcare AI isn't usually the model architecture. It's the data. Data science teams are spending wee...
02/28/2026

The bottleneck in healthcare AI isn't usually the model architecture. It's the data.

Data science teams are spending weeks on manual annotation that AI could process in minutes. But in healthcare, speed cannot come at the cost of compliance.

We built the Generative AI Lab to solve this trade-off. It combines the speed of automated pre-annotation with the safety of human-in-the-loop validation.

• De-identify PHI automatically before review.
• Scale annotation tasks without adding headcount.
• Audit every click for full compliance.

Stop treating annotation as a manual burden. Treat it as an engineered workflow.

Explore the platform: https://hubs.li/Q044TFdR0

Claim denials often stem from misalignment, not malice. Generative AI identifies patterns in documentation gaps, coding ...
02/27/2026

Claim denials often stem from misalignment, not malice. Generative AI identifies patterns in documentation gaps, coding mismatches, and payer criteria before submission.

That means:
• Fewer avoidable denials
• Lower AR days
• More trust between clinical and admin teams

Smart AI infrastructure that strengthens the financial side of care.

🔗 Read the full story: https://hubs.ly/Q044TxCL0

The full patient journey is fragmented across unstructured clinical notes. John Snow Labs’ patient journey solution extr...
02/27/2026

The full patient journey is fragmented across unstructured clinical notes.

John Snow Labs’ patient journey solution extracts diagnoses, procedures, and timelines from unstructured text and links them to structured EHR data—building a unified care map for each patient.

Data you can act on, from the stories you already have.

Learn more: https://hubs.ly/Q044TB0z0

Annotation. Model training. Prompt testing. Audit dashboards. One integrated platform. Generative AI Lab brings the full...
02/27/2026

Annotation. Model training. Prompt testing. Audit dashboards.
One integrated platform.

Generative AI Lab brings the full AI lifecycle together in a single, enterprise-grade environment, supporting:
• Secure on-premise, private cloud, and air-gapped deployments for sensitive healthcare workloads
• Unlimited users, projects, and models, without usage-based constraints
• API-first integration with EHRs, data lakes, and downstream analytics systems

Designed for scale, compliance, and operational speed, Generative AI Lab enables healthcare organizations to build, govern, and deploy AI with confidence.

Learn more: https://hubs.ly/Q044TnkB0

Value-based care depends on a comprehensive view of each patient, not just billing data. With John Snow Labs, healthcare...
02/26/2026

Value-based care depends on a comprehensive view of each patient, not just billing data.

With John Snow Labs, healthcare organizations can:
• Extract social determinants and risk factors using SDOH NLP
• Identify clinical gaps and measure time-to-treatment through Patient Journey Mapping
• Analyze trends across populations with DeepLens analytics
• Integrate standardized terminology via FHIR Terminology Server for consistent, unified datasets

From risk identification to actionable insight, this approach enables scalable, data-driven interventions along every patient journey.

Create Patient Cohorts: https://hubs.ly/Q044ThpT0

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16192 Coastal Highway Lewes, DE
Delaware City, DE
19958

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Our Story

We believe data science, analytics & software innovators in healthcare are heroes. Our role is to support their vital work with the best quality and most valuable data. If you’re doing large amounts of data science in healthcare, we can help! Software and analytics projects depend on many datasets. Making data ready for analysis takes a lot of time and effort – 50-80% of data scientists’ time, by recent accounts. Datasets are updated on different schedules, so taking care of updates is a hassle. They have different owners, so compliance with multiple license types is an ongoing burden. On top of that, public and proprietary datasets are spread across many catalogs, not all online, so finding the right dataset is a challenge by itself. We give you turnkey data for analysis. Save months to build a clean, useable data library. Save time and improve accuracy by always having all data up to date. Call on our experts to find, acquire or generate hard-to-find datasets. Receive data in the format that tested & optimized for your big data, data science or visualization platform. Reduce duplicate internal effort by providing your team with a shared data library. Enjoy compliance piece of mind, since that’s part of the included support package.

https://www.johnsnowlabs.com/dataops-blog