Omniview

Simplify medical data analysis, derive greater clinical insights, & deliver personalized patient care.

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Description

Omniview is an advanced large language model (LLM) specifically engineered for the healthcare sector. It has been fine-tuned using a vast dataset of 30 million real patient charts, enabling it to process complex medical information with high precision and speed. This capability allows healthcare professionals to simplify medical data analysis, derive more profound clinical insights, and ultimately deliver more personalized patient care. The system is designed to understand intricate clinical contexts, handle complex queries effectively, and provide accurate outcomes while mitigating issues like AI hallucinations.

The platform offers a suite of clinical Natural Language Processing (NLP) APIs that prioritize both speed and simplicity. Key technologies include Optical Character Recognition (OCR) for digitizing printed and handwritten documents, Named Entity Recognition (NER) for identifying critical medical terms, and Data De-identification to ensure compliance with privacy regulations like HIPAA and GDPR. Omniview also supports flexible deployment options, including cloud-independent solutions and on-premise hosting, catering to various data control and security needs with a straightforward, fixed-cost model for unlimited document processing.

Key Features

LLM Fine-Tuned on 30M Patient Charts: Delivers unparalleled precision in medical data analysis.
High Accuracy & Consistency: Guarantees reliable outcomes and eliminates AI hallucinations.
Clinical Context Understanding: Accurately processes complex medical queries by understanding clinical nuances.
Flexible Deployment Options: Supports cloud-independent solutions and on-premise hosting for enhanced data control and security.
Fixed-Cost Pricing Model: Offers a straightforward, fixed-cost structure for unlimited document processing.
Customizable Model Training: Allows tailored model training on de-identified patient data for privacy-compliant healthcare applications.
Advanced Optical Character Recognition (OCR): Converts printed and handwritten medical documents into digital data.
Medical Named Entity Recognition (NER): Identifies and categorizes key medical entities from unstructured text.
Robust Data De-identification: Protects sensitive patient information in compliance with HIPAA & GDPR.
Comprehensive Clinical API Suite: Integrates with SNOMED CT, RxNorm, LOINC, and ICD-10-CM for standardized medical coding and terminology.