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Use nDepth to extract hidden information and create precise registries for research and healthcare

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:

  • Find patients with conditions poorly represented in structured data
    • Based on radiology or pathology findings
    • By disease severity (e.g., CHF class, cancer stage)
    • Based on symptoms & behaviors
  • Extract discrete unstructured quantitative values
    • g., ejection fraction, MMSE, Karnofsky score
  • Assesssentiment / decision-making
    • g., reasons for drug discontinuation
  • Improve clinical trial recruitment
    • g., processing eligibility criteria and matching patients accordingly
  • Determine high-risk patients based on:
    • Based on radiology or pathology findings
    • By disease severity (e.g., CHF class, cancer stage)
    • Based on symptoms & behaviors
  • Identify cohorts for quality metrics
  • Pull cancer staging and biomarker data from pathology reports
  • Identify Patient Safety issues
  • Optimize medical coding to improve billing

For Research

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.

For Healthcare

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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