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Related Experiment Video

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A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

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Using Semantic Technologies to Extract Highlights from Care Notes.

Vanessa Lopez¹, Grace Mccarthy¹, Joao Bettencourt-Silva¹

¹IBM Research Ireland, Dublin, Ireland.

Studies in Health Technology and Informatics

|January 4, 2018

Summary

We developed a cognitive system using natural language processing to help healthcare professionals analyze patient notes. This system creates a comprehensive patient overview, showing strong agreement with user evaluations.

Keywords:

Artificial Intelligence Health Information Systems

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Area of Science:

Health Informatics
Artificial Intelligence in Medicine
Clinical Data Analysis

Background:

Healthcare professionals face challenges managing large volumes of unstructured patient data.
Extracting meaningful insights from clinical notes is crucial for patient-centric care.
Existing systems may lack the ability to provide a holistic semantic view of patients.

Purpose of the Study:

To propose a cognitive system for patient-centric care.
To support care professionals in analyzing extensive patient notes.
To create a holistic semantic view of individual patients from unstructured data.

Main Methods:

Utilizing natural language processing (NLP) and semantic analysis.
Implementing machine learning for user adaptation over time.
Highlighting key entities within unstructured patient notes.

Main Results:

The system effectively identifies and presents critical information from patient notes.
A user-based evaluation demonstrated high consensus between the system's output and user interpretation.
The cognitive system provides a holistic semantic view of patients.

Conclusions:

The proposed cognitive system enhances the analysis of patient notes for better care.
NLP and semantic methods can effectively support healthcare professionals.
The system shows promise in improving patient-centric care through data interpretation.