Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling the relational complexities of symptoms

R H Dolin1

  • 1Southern California Kaiser-Permanente, Anaheim.

Methods of Information in Medicine
|December 1, 1994
PubMed
Summary

Reliable medical data, especially symptom information, is increasingly valued for patient care. This study proposes a conceptual data model for representing free-text symptom notes in electronic medical records.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks.

Methods of information in medicine·2019
Same author

Health level seven interoperability strategy: big data, incrementally structured.

Methods of information in medicine·2014
Same author

The SNOMED RT Procedure Model.

Proceedings. AMIA Symposium·2002
Same author

The HL7 Clinical Document Architecture.

Journal of the American Medical Informatics Association : JAMIA·2001
Same author

The creation of an ontology of clinical document names.

Studies in health technology and informatics·2001
Same author

Kaiser Permanente's "metadata-driven" national clinical intranet.

Studies in health technology and informatics·2001

Area of Science:

  • Medical Informatics
  • Data Science
  • Clinical Documentation

Background:

  • Growing recognition of the value of reliable, codified medical data.
  • Symptom data is crucial for clinical decision analysis and patient outcome determination.
  • Emergence of electronic medical record systems necessitates robust data storage models.

Purpose of the Study:

  • To analyze symptoms as recorded in free-text clinical notes.
  • To present a high-level conceptual data model for symptom data.
  • To enhance the structure and content of electronic medical record systems.

Main Methods:

  • Analysis of free-text clinical notes for symptom data extraction.
  • Development of a conceptual data model for symptom representation.
  • Review of underlying data models for electronic medical record systems.

Main Results:

  • Identification of key elements for symptom data within free-text notes.
  • A proposed conceptual data model for organizing and storing symptom information.
  • Demonstration of a structured approach to complex medical data.

Conclusions:

  • A conceptual data model can effectively represent free-text symptom data.
  • Improved data modeling strengthens electronic medical record systems.
  • Standardized symptom data enhances clinical decision-making and outcome analysis.

Related Experiment Videos