Healthcare
❯
Doctors notes management
❯Hospital Patient Management
❯NLP study finds 50% of patient notes duplicated
Sanford Health used NLP study to guide standardization in its EHR templates in order to eliminate bloat
For:
46 hospitals, 1,400 physicians and more than 200 Good Samaritan Society senior care locations in 26 states and 10 countries using Sanford Healths’ One-Chart EHR system.
Goal:
Improved Product Development / R&D
NLP study finds 50% of patient notes duplicated
For:
Hospital
Companies providing electronic health records (EHR) systems.
Goal:
Improved Operation
NLP study finds 50% of patient notes duplicated
For:
Hospital
Companies providing electronic health records (EHR) systems.
Goal:
Improved OperationProblem addressed
Duplicate text casts doubt on the veracity of all information in the medical record, making it difficult to find and verify information in day-to-day clinical work.
The difficulty of finding clinical information living across numerous locations leads to wasted time retrieving data, or worse, missed information because clinicians lack time to adequately search the electronic health records.
Description
Analysis of note length and content duplication rates using a set of 10 adjacent word tokens (ie, a 10-gram) sliding-window approach to identify spans of text duplicated exactly from earlier notes in a patient’s record for all inpatient and outpatient notes, between 2015 and 2020.
There were a total of 104 456 653 notes for 1 960 689 unique patients consisting of 32 991 489 889 words; 50.1% of the total text in the record (16 523 851 210 words) was duplicated from prior text written about the same patient.
Retrieve Information
AI: Act