Types of Data Points in the Summary

DigitalOwl's proprietary Natural Language Processing (NLP) engine and data enrichment transform scanned medical records (e.g APS) into concise, categorized and meaningful summaries.

DigitalOwl’s summary is an additional tool for underwriters, claim adjusters and lawyers, as part of their toolbox - enhancing their work by removing time-consuming and repetitive tasks.

The DigitalOwl summary provides a detailed and chronological overview of the patient's medical history which includes the following data points, among others:

  1. Medical conditions, diseases, infections, syndromes, mental/emotional conditions
  2. Medical procedures, surgeries, imaging, screenings, scans and examinations
  3. Medications
  4. Visit dates, admission dates, release dates, accident dates
  5. Providers’ names
  6. Lab results
  7. Key health indicators such as BMI, blood pressure, heart rate, etc.
  8. Vaccinations
  9. Social history such as smoking, alcohol or drug abuse
  10. Personal information such as gender and age
  11. Negated conditions

Date and Provider Association
Each data point is associated with a date and provider. Some data points will be flagged as “History of”, indicating that the extraction was mentioned in the context of past conditions/procedures.

Updated 4 months ago