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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...

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Related Experiment Video

Updated: Oct 12, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

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Making EHRs Reusable: A Common Framework of Data Operations.

Miguel Pedrera^1,2, Noelia Garcia¹, Paula Rubio¹

¹Hospital Universitario 12 de Octubre, Madrid, Spain.

Studies in Health Technology and Informatics

|November 19, 2021

Summary

This study defines a common framework for data operations to standardize electronic health record (EHR) data extraction and transformation for secondary use. This approach enhances data understandability, reproducibility, and auditability in healthcare.

Keywords:

COVID-19 Data reusability Electronic Health Records FAIR ISARIC ISO 13606 OMOP Real World Data Semantics Standards i2b2

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Published on: November 22, 2019

Area of Science:

Health Informatics
Data Management
Clinical Data Standardization

Background:

Electronic Health Records (EHRs) contain valuable data for secondary use.
Current EHR data extraction and transformation processes lack standardization.
This heterogeneity hinders data understandability, reproducibility, and auditability.

Purpose of the Study:

To define a common framework of data operations for secondary use of EHR-derived datasets.
To establish a standardized approach for Extract, Transform, Load (ETL) processes in healthcare.

Main Methods:

Identified 21 distinct data operations from diverse projects within a large tertiary hospital.
Formalized these operations using the ISO 13606 standard for data interoperability.
Developed a foundational framework for homogenizing ETL processes.

Main Results:

A set of 21 formalized data operations for EHR secondary use.
The ISO 13606 standard provides a robust basis for formalizing data operations.
The proposed framework is designed for broad applicability across different healthcare settings.

Conclusions:

This work provides a starting point for standardizing ETL processes for EHR reuse.
The defined framework promotes data homogeneity, understandability, and auditability.
Future research will focus on implementing and validating these operations in diverse projects.