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Invent Health NLP Engine Demo
NLP Powered Engine
Invent Health’s new NLP-powered engine offers healthcare organizations a powerful tool for clinical entity detection, risk adjustment, compliance, and support for SDOH and HEDIS requirements. With the ability to quickly and accurately identify clinical entities within medical records, our technology streamlines the coding process, saves valuable time, and reduces the risk of errors.
It also supports risk adjustment by identifying relevant SDOH data, compliance with regulatory standards, and HEDIS measures. Our system detects potential errors, raises flags, and ensures claims are properly reimbursed, ultimately helping organizations improve patient outcomes, optimize payment, and reduce costly errors and penalties.
Our NLP software supports the identification and capture of data related to quality of care measures, helping organizations improve patient outcomes.
Our technology identifies and captures data related to social determinants of health (SDOH), enabling healthcare organizations to accurately reflect the health status of their patient populations.
Our software ensures compliance with regulatory standards, including the use of ICD-10 codes, reducing the risk of audits or penalties for noncompliance.
Our NLP capabilities support compliance with regulatory standards, such as CPT codes, ensuring that claims are properly reimbursed and reducing the risk of fraud or abuse.
Key features of NLP Engine
Named Entity Recognition
Our NLP engine leverages the power of Named Entity Recognition (NER) to accurately identify and classify key entities within medical records, such as diagnoses, procedures, medications, and more.
By mapping to NER, our technology can quickly and efficiently extract relevant data from unstructured text, providing valuable insights to healthcare organizations.
This approach enables our software to automate the coding process, saving time for medical coders and reducing the risk of errors.
Ultimately, the use of NER enhances the capabilities of our NLP engine, enabling it to support risk adjustment, compliance, and SDOH requirements, and helping healthcare organizations optimize payment and improve patient outcomes.
Conditions Mappings
Invent Health NLP engine also offers advanced capabilities for condition mapping. By leveraging machine learning algorithms, our software can accurately associate medical conditions with relevant labs, codes, and treatment options.
This enables healthcare organizations to better understand and manage patient health, supporting risk adjustment, compliance, and quality of care initiatives.
With the ability to quickly and accurately map conditions to associated entities, our NLP engine saves valuable time for medical coders and healthcare professionals, while also improving the accuracy and completeness of patient records.
Ultimately, this leads to improved patient outcomes and reduced risk for healthcare organizations.
Inferences - Next Best Plan
Our NLP engine is designed to provide valuable insights to healthcare organizations by leveraging advanced techniques such as condition mapping and Named Entity Recognition.
Based on the data extracted from medical records, our software generates inferences that highlight key opportunities for improvement across a range of categories. These opportunities are split by type, including coding, risk adjustment, compliance, and quality of care.
For each opportunity, our NLP engine provides details, recommendations, and departmental assignments, giving organizations a clear action plan for addressing areas of need.
By providing actionable insights in a clear and intuitive format, our software helps healthcare organizations optimize payment, improve patient outcomes, and reduce the risk of costly errors and penalties.
