The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency

To improve diagnostic speed and accuracy, especially when handling scanned documents in EHR, it emphasizes the critical need for strong natural language processing (NLP) systems inside HNIMS.

Authors

Institutions

Publication Details

Journal
SLAS TECHNOLOGY
Published
2025-04-18
DOI
https://doi.org/10.1016/j.slast.2025.100287
Citations
3
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
8.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency

Shiyong Wang, Hong Luo
3 citations
SLAS TECHNOLOGY
Artificial Intelligence in Healthcare
8.81
article

The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency

Shiyong Wang, Hong Luo
article en
3 citations

Abstract

To improve diagnostic speed and accuracy, especially when handling scanned documents in EHR, it emphasizes the critical need for strong natural language processing (NLP) systems inside HNIMS.

SLAS TECHNOLOGYVol. 32
Naval University of Engineering (CN), Shanghai Changzheng Hospital (CN)
Quality Education
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare
8.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.