Related Experiment Video
Updated: May 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Data extraction from electronic health records - existing tools may be unreliable and potentially unsafe
Siaw-Teng Liaw1, Jane Taggart, Hairong Yu
1PhD, FRACGP, FACHI, is Professor of General Practice, University of New South Wales and Director, General Practice Unit, South West Sydney Local Health District, New South Wales.
Background:
The increasing use of routinely collected data in electronic health record (EHR) systems for business analytics, quality improvement and research requires an extraction process fit for purpose. Little is known about the quality of EHR data extracts. We examined the accuracy of three data extraction tools (DETs) with two EHR systems in Australia.
Methods:
The hardware, software environment and extraction instructions were kept the same for the extraction of relevant demographic and clinical data for all active patients with diabetes. The counts of identified patients and their demographic and clinical information were compared by EHR and DET.
Results:
The DETs identified different numbers of diabetics and measures of quality of care under the same conditions.
Discussion:
Current DETs are not reliable and potentially unsafe. Proprietary EHRs and DETs must support transparency and independent testing with standardised queries. Quality control within an appropriate policy and legislative environment is essential.
More Related Videos
09:00TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Published on: April 13, 2021
04:58Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
Published on: August 25, 2022
Related Concept Videos
Methods of Documentation VII: EMR
Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
Purpose of Health Records II
Statistical Software for Data Analysis and Clinical Trials
Data Collection I
Data Collection III
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...