Clinical Data Analytics
Insights revealed through the analysis and visualization of clinical data can make the healthcare process more efficient, prevent waste and abuse and improve delivery of care. By unifying the clinical data repository and applying advanced natural language processing (NLP) techniques to extract meaning from free-text fields and code them to entity schemata like ICD–10, SNOMED-CT or MeSH for research purposes, the hidden value in clinical data can be unlocked while maintaining patient privacy, data security and HIPAA compliance.