Examples where NLP Data Factory can transform your business
Clinical Documentation
Inprovement
SNOMED
Coding
Novel Target
Intelligence
NLP Data Factory
Biomarker
Discovery
Social Determinants
of Health
Oncology
Profile
Medical Affairs
Insights
Clinical Trial
Analytics
Metadata
Enrichment
Safety Case
Processing
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Metadata Enrichment
Break down data silos by intelligently tagging unstructured documents with rich metadata to increase their accessibility and value to your organization
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Create and deploy your own NLP searches in an easy-to-use interface then see your data transformed reliably and repeatably at scale
Clinical Documentation Improvement
Reduce time spent manually scouring charts to improve clinical documentation
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Surface information to ensure the correct diagnosis is documented
SNOMED Coding
Rapidly process the clinical notes for each patient to normalize text to SNOMED
CT codes
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Make unstructured data ready for a common data model
Novel Target Intelligence
Extract new findings for gene targets from scientific literature or patents, with context for specific diseases, drugs, and competitor organizations
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Create landscape of druggable context around potential targets, including mutations, pathways, models and more
Biomarker Discovery
Identify previously unknown relationships between biomarkers and disease profiles
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Quickly identify sources that provide evidence for multiple biomarkers and phenotypic indicators of interest
Safety Case Processing
Rapidly intake and process textual narratives of individual case safety reports for pharmacovigilance (including social media, post‐marketing safety reports, literature reports)
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Capture potential issues not explicitly flagged in structured clinical reports but documented in unstructured notes
Clinical Trial Analytics
Glean high-value insights from the unstructured text in clinical trial reports for use in future study design and site selection, or to gain actionable information about competitors' worldwide clinical development activities
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Medical Affairs Insights
Extract unstructured information from diverse data sources, including Voice of the Customer (VoC) data from patient surveys and call center verbatims, customer complaints databases, focus groups, etc., and regularly monitor for potential product issues, competitive insights and breaking trends
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Oncology Profile
Extract clinical attributes such as cancer stage, tumor size, histology, and biomarker values to normalize and standardize high-complexity cancer information – making your data research ready
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Social Determinants of Health
Build a complete picture of patients by automating extraction of important predictive characteristics such as social determinants of health and lifestyle factors
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Synthesize clinical notes, call center transcripts, diagnostic reports, discharge reports, and patient narratives for the context beneath the clinical data stored in EHRs
Custom
Application
Areas
The NLP Data Factory can be used for any custom application area where enriching unstructured and semi-structured data is needed
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