Natural Language Processing (NLP) Software
NLP-based AI for automated mining of clinical documents and reports.Manually extracting clinical data from unstructured text is inefficient. And yet, clinical staff often dedicate up to 30% of their working day repeating just this kind of exercise, and report low levels of satisfaction accordingly.
Details
Inspirata’s NLP On Demand surfaces key information difficult to extract at scale within healthcare documentation in mere minutes. The results can be immediately applied to improve patient outcomes, optimize costs, and deliver a better quality of care.
Introducing NLP On Demand
NLP On Demand provides a comprehensive, fast, and automated approach to solving key issues with data in medical reports:
- De-identification
- Greater Consistency
- 99% Accuracy in Cancer Case Finding
- 100% Reproducibility & Consistency
- Better Workflow Efficiency
- No tedious, manual labor associated with extracting clinical data
- Improved Medical Insight
- Data-driven insights for research, quality improvement, and clinical decision support
Offered as Software-as-a-Service (SaaS), NLP On Demand can be deployed to address the following use cases:
- Document profiling and classification
- Tumor or disease profiling and characterization
- Automation of diseases registry reporting
- Completeness and accuracy of clinical documentation
- Clinical concept extraction and mining
- Computer-assisted medical record coding
- Population health studies/disease statistics
- Problem list extraction and risk stratification
- Computing service quality
Benefits of NLP On Demand
Healthcare Data Teams
- Execute faster and with greater confidence with more timely, accurate, and complete datasets
- Leverage difficult to surface or entirely untapped data sources to enhance your clinical research or business intelligence
- Scale your clinical research and business analytics teams
- Leverage our database of thousands of clinical concepts such as genomic biomarkers, symptoms, side effects, and medications
- Identify disease characteristics, medications, or risk factors from clinical documents to stratify patients and improve the quality of care
- Protect the identity of data subjects while maintaining data utility through document de-identification
- Improve your understanding of data quality to spotlight areas of required improvement
Customer reviews
No reviews were found for Natural Language Processing (NLP) Software. Be the first to review!