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Related Concept Videos

Methods of Documentation VII: EMR01:30

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,...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

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Related Experiment Video

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TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
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Populating the i2b2 database with heterogeneous EMR data: a semantic network approach.

Sebastian Mate1, Thomas Bürkle, Felix Köpcke

  • 1University Erlangen-Nuremberg, Erlangen, Germany. Sebastian.Mate@imi.med.uni-erlangen.de

Studies in Health Technology and Informatics
|September 7, 2011
PubMed
Summary

A new ontology-based system maps electronic medical record (EMR) data for cancer research. This approach facilitates data sharing between hospitals and enables reuse of mapping knowledge for future ontology development.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

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

Published on: September 20, 2018

Area of Science:

  • Biomedical Informatics
  • Health Data Science
  • Ontology Engineering

Background:

  • Sharing heterogeneous electronic medical record (EMR) data between institutions like University Hospitals Münster and Erlangen presents significant challenges for joint cancer research.
  • Existing data integration methods often lack standardization, hindering collaborative research efforts.

Purpose of the Study:

  • To develop and implement an ontology-based system for mapping EMR data to common data elements.
  • To facilitate the seamless sharing of EMR data between University Hospitals Münster and Erlangen for collaborative cancer research.
  • To establish a framework for reusing mapping knowledge in future ontology development.

Main Methods:

  • Developed an ontology-based system to map EMR data to a standardized set of common data elements.
  • Translated these mappings into local SQL scripts for data extraction, transformation, and loading (ETL) into an i2b2 database.
  • Utilized Semantic Web standards to ensure the reusability of mapping knowledge.

Main Results:

  • Successfully implemented a system for mapping heterogeneous EMR data to a common data model.
  • Enabled the extraction, transformation, and loading of facts data from EMRs into an i2b2 instance for joint research.
  • Created a foundation for the reuse of compiled mapping knowledge.

Conclusions:

  • The developed ontology-based system effectively addresses the challenge of sharing heterogeneous EMR data for collaborative research.
  • The use of Semantic Web standards promotes the long-term value and reusability of mapping knowledge.
  • This approach supports the development of comprehensive cancer and hospital-wide clinical ontologies.