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Medical Bills Automation refers to the advanced use of AI and machine learning technologies to streamline the often complex and labor-intensive process of medical billing. Leveraging a platform like DeepOpinion, this technology intelligently extracts key data points such as patient details, diagnosis codes, procedures carried out, costings, and insurance details from diverse medical bill formats.
The true power of this approach lies in its impact on operational efficiency and business performance. By training one Large Language Model (LLM) to handle global variation and layout variety, businesses can reduce error rates by 20x, enabling 98%+ accuracy in data extraction without reliance on templates or pixel rules.
This leads to significant time savings, cost reduction, and improved accuracy, ultimately enabling companies to focus more on patient care than administrative tasks. Additionally, DeepOpinion's AI models continuously improve with more data input, ensuring that performance does not plateau and that accuracy is consistently high. By integrating medical bills automation into their operations, businesses can significantly improve their medical billing processes, avoid delays, reduce errors, and greatly enhance operational efficiency.
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
“With DeepOpinion, self-service AI became effortless. It streamlined AI model creation without the need for extensive expertise, saving time and resources”
“DeepOpinion’s straight through processing is amazing, more than double what we’ve achieved. We’ve never seen anything even close to that.”
Frequently asked questions
DeepOpinion's approach to medical bill processing is different from traditional OCR solutions in several ways. Firstly, the use of a Large Language Model (LLM) allows for the handling of a wide range of document layouts and global variations. Traditional OCR solutions typically depend on specific layouts and position-based information, often struggling with unstructured or semi-structured documents. DeepOpinion's LLM is trained on millions of text and documents, achieving an accuracy of over 98% without templates or pixel rules. This significantly reduces error rates and increases versatility, capable of handling unstructured documents, semi-structured documents, wide layout variety, and even handwritten text and signatures. Secondly, DeepOpinion's AI Hub requires zero-training and less data to build powerful models. Traditional OCR solutions often require large training datasets or the creation of many templates to build a model. DeepOpinion uses domain-tuned Generative LLM zero-shot capabilities to build models without any data training. The AI Hub also uses domain-tuned LLMs that require only 50-100 training examples to achieve over 98% accuracy. DeepOpinion's AI outperforms major competitors by up to 3x on unstructured data. Lastly, DeepOpinion's AI Hub offers operational and maintenance advantages over traditional OCR solutions. It reduces reliance on predefined templates and has the capabilities for complete dark processing. Traditional solutions often require high training and maintenance effort, and have high error rates with flexible/unstructured layouts. The AI Hub also continuously improves its performance as more data is passed through the models and corrections are made, thanks to advanced model-listening and an automated continuous learning loop. This means that the learning benefits of a model from use in a specific domain benefit all users of such base models. This approach to medical bill processing has been developed through pioneering LLM research since 2018, coupled with an Automated Machine Learning architecture that automates model optimization.
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.