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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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Health Information Technology and Healthcare Information System

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Purpose of Health Records I01:11

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Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...

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Related Experiment Videos

Harmonized Data Quality Assessments on Emergency Data Across Multiple Hospitals.

Kais Tahar1, Wiebke Schirrmeister1, Saskia Ehrentreich1

  • 1Institute for Public Health in Acute Medicine, University Medicine Magdeburg, Magdeburg, Germany.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary

Data quality assessments of electronic health records (EHR) from 52 emergency departments (EDs) found completeness issues in 64,536 cases. This research supports EHR data use in clinical research and public health initiatives.

Keywords:
Data qualityEHR Datadata analyticsemergency and acute medicine

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Public Health Research

Background:

  • Electronic Health Records (EHR) are crucial for clinical research and public health.
  • Standardized data quality assessments are needed for reliable EHR data utilization.
  • Emergency Departments (EDs) generate high-volume, complex data streams.

Purpose of the Study:

  • To perform harmonized data quality (DQ) assessments on EHR data from multiple hospital EDs.
  • To evaluate the completeness and uniqueness of six key data items across 52 EDs.
  • To identify data gaps and establish benchmarks for EHR data quality.

Main Methods:

  • Automated evaluation of five DQ indicators and related parameters.
  • Analysis of 1,420,198 cases across six data items.
  • Assessment conducted across 52 diverse EDs.

Main Results:

  • Identified 64,536 data quality issues, exclusively related to completeness.
  • Seven leading EDs achieved perfect scores (100%) across all DQ indicators.
  • Ten EDs scored below 50% for daily data collection completeness due to data gaps.

Conclusions:

  • The study demonstrates effective methods for assessing EHR data quality in ED settings.
  • Results highlight significant variations in data completeness across EDs.
  • Findings support the secondary use of EHR data for clinical research and public health by providing DQ benchmarking tools.