Microsoft Azure Partner
Clinical NLP as a service to unlock the power of your unstructured medical text
on Azure Cloud
Reduce cost, time & effort to process unstructured clinical texts
- Easy to use ML to extract clinical entities from unstructured text
- Accomplished through our patented AI Technology platform
- Greater than 90% accuracy in matching standard terminologies
Built on Azure, Built for Azure
Seamless Native Azure Deployment & Architecture
- Input We support multiple formats including FHIR
- Deployed using AKS cluster Hosted or Self managed
- Output JSON/FHIR format
- Production ready 2.2M transactions / day
Key Benefits
Extract accurate clinical information, faster
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.
Accelerated time to market
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.
Scalable natural language processing
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.
Low document processing cost
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.
Top-Notch Data Security
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.
How it works?
Use Cases
Revenue Cycle Management
Manual Coding of ICD 10 CM/PCS is inefficient and inaccurate. CAC - NLP powered coding automation workflow to suggest billable codes that Improves coding productivity and improves hospital reimbursement. Also other tools such as NLP Powered CDI, Audit, Analytics for Revenue cycle management can be developed.
Healthcare Fraud Detection
Manually detecting undercoding and overcoding cases by strong evidence in documents for corresponding codes is tedious task. Fraud Detection NLP powered tool can be leveraged to accurately and quickly identify errors. It automatically identifies instances of fraud (overcoding and undercoding).
Clinical Trials Management
How to accurately & quickly identify the right patients for clinical trials? NLP based application can automate trial matching and make it a seamless process. It makes faster and accurate indexing across large patient populations.
PHI Compliance
Difficult to comply with PHI and technical requirements for PHI. Redacting PHI from clinical data is crucial. NLP powered application can quickly and accurately redact PHI and accurately de-identify medical notes for democratizing healthcare data.
Radiology Report Classification
Getting insights from Radiology Reports is lengthy & time consuming.There also exists erroneous information interpretation at each stakeholder level. NLP powered application can be leveraged for radiology report classification. It enables complete structured Information extraction from Radiology Reports. This resuts in phenomenal time savings as well as improved outcomes based on reduced medical errors.
Semantic Search
Lots of clinical information is residing between siloed systems. NLP powered application can collect those siloed information, convert unstructured clinical text to structured information, process image metadata & provide semantic search. This is like a search engine, where specified search parameters would be available.
