nDepth uses clinical text searching to build and refine groups of patients based on concepts derived from notes in the medical record.
Using nDepth, you can:
Clinical research often requires the identification of cohorts that follow precisely defined patient and disease-related inclusion and exclusion parameters. nDepth™ unlocks knowledge contained in unstructured textual documents (e.g., pathology reports, clinical notes) enabling search, comparison, and evaluation. To learn more, view our case studies.
The rich and diverse clinical data contained in unstructured textual documents (e.g., physician notes, operative reports, pathology and radiology reports) is invaluable for decision support, patient management, quality improvement and outcomes analysis. Getting this data is time-consuming and expensive, requiring highly qualified clinical staff to review and extract discrete information from patient charts manually.
nDepth™ extracts clinical data and other hard-to-find patient characteristics from notes in the medical record, making it available for clinical use. To learn more, view our case studies.
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