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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

Modeling problem-oriented clinical notes.

F H J M Cillessen1, P F de Vries Robbé

  • 1Radboud University Nijmegen Medical Centre, 33 P.O. Box 9101, 6500 HB Nijmegen, The Netherlands. F.Cillessen@mi.umcn.nl

Methods of Information in Medicine
|November 17, 2012
PubMed
Summary
This summary is machine-generated.

A new model for electronic health records (EHR) links clinical progress notes to patient conditions using Health Level 7 (HL7) standards. This problem-oriented medical record (POMR) approach enhances clinical reasoning documentation and data organization.

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Last Updated: May 16, 2026

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:

  • Health Informatics
  • Clinical Documentation
  • Electronic Health Records (EHR)

Background:

  • Clinical notes are crucial for patient care but often lack standardized structure.
  • Problem-Oriented Medical Record (POMR) and Subjective, Objective, Assessment, Plan (SOAP) are established methodologies.
  • Integrating these methodologies into Electronic Health Records (EHR) presents modeling challenges.

Purpose of the Study:

  • To develop a foundational model for a problem-oriented clinical notes application within an EHR system.
  • To create a generic component for EHRs that standardizes clinical note structure and content.
  • To improve the documentation of clinical reasoning and patient conditions.

Main Methods:

  • Utilized Weed's POMR conceptualization to link progress notes to patient problems.
  • Employed Subjective, Objective, Assessment, Plan (SOAP) headings for note element classification.
  • Applied Health Level 7 (HL7) Version 3 and Unified Modeling Language (UML) for model development, focusing on Conditions and Concerns.

Main Results:

  • Developed a generic HL7-based model for clinical progress notes.
  • The model links notes to conditions, allows assertions about conditions, and tracks concerns.
  • Facilitates building hierarchical condition trees and enables various data views (chronological, SOAP, condition-oriented).
  • The application is in clinical use and meets design criteria.

Conclusions:

  • The HL7 standard enables effective modeling of progress notes using SOAP and POMR.
  • A flexible paradigm was created by using acts for assessments linked to conditions, separating conditions from concerns, and utilizing working list acts.