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Healthcare NLP Solutions Product Information

Healthcare NLP Solutions | Medical Data Collection & Annotation

Healthcare NLP Solutions provides a suite of AI-powered tools designed to simplify medical data analysis, derive clinical insights, and deliver personalized patient care. The platform is built around Omniview, a powerful LLM fine-tuned on extensive real-world healthcare data, engineered to deliver precise, fast processing of complex clinical information with a focus on accuracy, privacy, and flexibility.


Overview

  • Omniview LLM: A clinical-grade large language model fine-tuned on 30 million patient charts to ensure precision and reduce AI hallucinations. Tailored to understand clinical contexts and handle complex queries for accurate outcomes.
  • Cloud-independent and on-premise hosting: Options to keep data under your control and meet strict security requirements.
  • Fixed-cost model: Transparent pricing for unlimited document processing.
  • Privacy-forward customization: Tailored model training on de-identified patient data for healthcare apps that require compliance with HIPAA, GDPR, and related regulations.

Key Capabilities

  • OCR: Convert printed and handwritten documents (forms, notes, labels, lab results, histories, imaging reports, etc.) into digital data.
  • NER (Named Entity Recognition): Detect and categorize clinical entities such as patient names, medical terms, and terminologies from unstructured text.
  • Data De-ID: De-identify structured and unstructured documents, PDFs, and images to protect sensitive information while enabling data analysis.
  • Clinical API Suite: Access standardized clinical concepts (e.g., SNOMED CT, RxNorm, LOINC, ICD-10-CM) for interoperable medical informatics.
  • Insights & Benchmarking: Compare Omniview performance against major cloud providers with F-measure metrics to gauge accuracy.
  • Annotation & Case Studies: High-quality annotation, de-identification, and NLP workflows designed for HIPAA-compliant research and validation.
  • Ambient Tech & Synthetic Healthcare Conversations: Support for ASR-ready synthetic conversations to power ambient clinical applications.
  • Veterinary Care Solution: NLP-powered vaccination management and veterinary care workflows.

How It Works

  1. Input data: Digital or scanned clinical documents, forms, notes, and reports.
  2. OCR and extraction: Convert to structured digital data and extract relevant clinical entities.
  3. De-identification: Apply robust de-identification to protect patient privacy where required.
  4. NLP processing: Use the Omniview LLM for context-aware interpretation, coding, and data enrichment.
  5. API integration: Access standardized medical concepts via the Clinical API Suite for downstream systems.
  6. Compliance & security: Deploy on-premise or cloud-independent solutions with strict privacy controls.

Use Cases

  • Clinical data extraction and summarization from EHRs, forms, and notes.
  • De-identified data preparation for research, analytics, and benchmarking.
  • Standardized coding and terminology mapping using SNOMED CT, RxNorm, LOINC, ICD-10-CM.
  • Ambient clinical workflows, including conversational AI for patient or clinician interactions.
  • Veterinary care data management and vaccination workflows.

Safety & Compliance

  • HIPAA/GDPR-compliant data handling with de-identification where applicable.
  • On-premise and private-cloud deployment options to minimize data exposure.
  • Emphasis on reducing AI hallucinations through domain-specific fine-tuning and validation.

Core Features

  • Fine-tuned clinical LLM (Omniview) trained on 30M patient charts for accuracy and context awareness
  • Cloud-independent hosting options (on-premise and private cloud)
  • Fixed-cost, unlimited document processing model
  • OCR for handwritten and printed medical documents
  • Named Entity Recognition tailored to healthcare terminology
  • Data De-ID to protect privacy while enabling analysis
  • Comprehensive Clinical API Suite (SNOMED CT, RxNorm, LOINC, ICD-10-CM)
  • Performance benchmarking against major cloud providers with F-measure metrics
  • High-quality annotation and HIPAA-compliant data handling
  • Ambient healthcare capabilities with synthetic conversations for ASR
  • NLP solutions for veterinary care and vaccination management