ezNLP (Natural Language Processing Service) makes it easy to use machine learning to extract relevant medical information from unstructured text. Our solution gives access to our NLP engine which reads the clinical unstructured text, understands the meaning of the documentation and transforms it into organized structured data for healthcare organizations for a variety of uses. ezNLP accomplishes this using our patented Artificial Intelligence technology platform which combines Natural Language Processing (NLP), Machine and Deep learning methods to achieve a greater than 90% accuracy in matching the unstructured documentation into standard terminologies.
Powered by state-of-the-art, award-winning patented technology, ezNLP understands and identifies complex medical information more accurately. Being deployed on the cloud, it delivers results in near real-time. You can now quickly and accurately gather information, such as medical condition, dosage, medication, strength, and frequency from a variety of sources like EHR, doctors notes, clinical trial reports, lab reports, patient health records, and other free-text documents.
ezNLP enables you to detect the information from hundreds of millions of documents and images, making more rapid insights into patient health. You access ezNLP through a simple API call, no machine learning expertise is required, no models to train, no complicated rules to write.
With ezNLP, you only pay for the documents that you analyze. So you pay only for what you use, and there are no minimum fees or upfront commitments. It makes it easy to automate and lower the cost of processing and coding unstructured medical text from medical documents and images.
You can use the extracted medical information and their relationships to build applications for use cases like clinical decision support, revenue cycle management, clinical trial management and many more.
Our solution is HIPAA compliant and provides world-class intrusion protection with multi-tier authentication, data encryption, disaster recovery mechanisms, multilevel data security and a wide range of certifications in support of regulatory assessment, as well as auditing standards. It can quickly identify protected health information (PHI), such as name, age, and medical record number, you can also use it to create applications that securely process, maintain, and transmit PHI.