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Updated: Jun 12, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Adverse event categorisation across NHS Scotland.

Alastair Ross¹, Matthew Plunkett, Kerry Walsh

¹Centre for Applied Social Psychology, University of Strathclyde, Graham Hills Building, 40 George Street, Glasgow G1 1QE, UK. aross@rossabernethy.co.uk

Quality & Safety in Health Care

|June 19, 2010

Summary

This summary is machine-generated.

NHS Scotland

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Last Updated: Jun 12, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

Healthcare quality and safety
Health informatics
Risk management

Background:

Adverse event reporting systems in NHS Scotland exhibit significant variation.
Current categorization lacks standardization, impacting data consistency.

Purpose of the Study:

To scope adverse event categories and definitions used across NHS Scotland.
To provide recommendations for standardized adverse event categorization.

Main Methods:

Network analysis of 128 categories and 1348 subcategories from 17 Health Boards.
Quantification of conceptual overlap and redundancy in category usage.

Main Results:

High redundancy observed: 51% of categories used by one board, 8% by two.
Significant conceptual overlap between categories identified.
Average of 14.9 overlaps for the eight most frequent categories.

Conclusions:

Variability in adverse event capture impacts national data reliability.
Identified category links offer potential for reliable national data extraction.
Standardization can improve data consistency without extensive recoding.