Watson for Patient Record Analytics (aka Watson EMRA) - overview
Using Natural Language Processing (NLP) and machine learning to provide intelligent insights from a longitudinal patient record for patient care.
Creating cognitive insights from patient records at the point of care.
Watson for Patient Record Analytics includes:
- An abstracted patient summary centered around an automatically generated problem list
- Semantic search that returns clinically meaningful matches on multiple dimensions
The Patient Record
Watson Patient Record Analytics
Problem-Oriented Medical Record (POMR)
Quality Assessment of Automatically Generated Problem List
On average Watson found 1.2 very important or important problems missed by physicians per patient record (avg. 6 problems)