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Health Insurance Claim Automation is a transformative solution powered by AI and machine learning that revolutionizes health insurance claim management. This technology extracts key information like policy details, claimant details, diagnosis codes, procedure codes, and billed amount from claim documents, irrespective of their format or layout.
By utilizing DeepOpinion's AI Hub, businesses can build high-quality AI apps within minutes, capable of handling millions of diverse document layouts with over 98% accuracy. The AI models require minimal training data and can continue to improve their performance with an automated continuous learning loop.
This leads to significant operational efficiencies, reduction in error rates, and enhanced business performance. It can process unstructured and semi-structured documents, extract hierarchical information, and interpret complex data such as handwriting and signatures.
DeepOpinion's pre-trained models also offer quick scalability and integration with existing systems, ensuring instant impact and easy version control. It's a game-changer in health insurance claim automation, providing businesses with an intelligent, efficient, and highly accurate solution to their claim processing challenges.
Build Enterprise-Grade AI Apps
Create AI applications in minutes to process your documents without  using code.
Maximum Accuracy & Versatility
A single model can handle millions of different layouts with high accuracy, without the need for templates.
Zero-Training Needed
Use customizable pre-trained models that require no additional training, facilitating immediate deployment.
Continuous Accuracy Improvement
As new data is introduced, the Document AI enhances its accuracy through an automated learning loop.
Control Data Output
Easily manage data output and formats with features for data matching and the ability to loop in humans for review.
What customers are saying
Frequently asked questions
DeepOpinion's approach to Health Insurance Claim processing is different from traditional OCR solutions by using a single Large Language Model (LLM) to handle a vast number of document layouts, thereby increasing accuracy levels while reducing error rates. Traditional OCR systems often struggle with messy document reality, relying heavily on layout and position-based information. They also struggle to handle global variation, layout variety, context/intent, and semi/unstructured documents. With DeepOpinion's AI Hub, one LLM can handle 99% of global variation and can be trained for 98%+ accuracy without templates or pixel rules. This approach significantly reduces the dependency on layouts and handles a wide variety of document types, reducing error rates by up to 20 times. Additionally, DeepOpinion's AI Hub eliminates the need for large training data sets, which are often required by traditional OCR systems and can still result in inaccurate models due to ineffective AI. The AI Hub enables the creation of powerful models in minutes without requiring any data training through the use of domain-tuned Generative LLM zero-shot capabilities. This means that you only need to describe what you want the AI to achieve (classify, extract, summarize, analyze, compare, etc.), and the AI takes care of the rest. For more complex tasks, DeepOpinion's technology can achieve above 98% AI Accuracy with 20x Less Data, outperforming major competitors by up to 3x on unstructured data. DeepOpinion also differs from traditional OCR solutions by offering pre-trained models for quick impact on common document types, reducing reliance on predefined templates and enabling complete dark processing. This means that there is no need to set up complex templates or rules before getting started. Additionally, as more data is passed through the models and corrections are made, the performance of AI continuously improves, thanks to advanced model-listening and an automated continuous learning loop. This also means that the learning benefits of a model from use in a specific domain benefits all users of such base models, meaning that companies using DeepOpinion are all indirectly contributing to better models for all.
How easy and fast is it to start seeing results?
DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.
Do I need to train or label data?
No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.
However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.
How can I integrate it into my other software tools and systems?
DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.
Does DeepOpinion offer Human in the Loop capabilities?
Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.
Which languages do you support?
DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.
Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.
Document Processing Lanuages Supported:
For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.