AI Virtual Assistants
Clinical Assertions
Use of NLP in Healthcare allowing physicians to optimize patient care by identifying the most pressing health issues and providing immediate treatment.
Introduction
Clinical assertion modeling allows healthcare professionals to analyze clinical notes to determine whether a patient has a problem and whether the problem is present, lacking, or predicated. As a result, clinical assertion models are frequently used to aid in the diagnosis and treatment of patients. Clinical NLP systems which can detect assertion status of given target medical findings in clinical context are highly demanded.
We use technologies that make the application light & fast!
Hugging Face- Transformers for NLP
Amazon Comprehend Medical & AWS Lambda.
Rev.ai for Transcribing.
Clinical Assertions- Features
Increase diagnosis accuracy by identifying the assertion modifiers in the Clinical Notes and put a full stop to misdiagnosis.
- Give correct diagnosis to patients and treat them accordingly.
- NLP promotes optimized patient care by eliminitating the assertions.
- Easy & great clinical text processing speed.
- The NLP system helps recognize words that can be mistaken for a medical keyword.
Why Choose Us?
We provide you with the best and flexible solution for your software ideas!
Clinical records structured into sections for easy identification.
Direct implementation with EHRs
Clinical notes assertion detection.
Extract only clinical keywords.