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

Creating temporal abstractions in three clinical information systems

M G Kahn1, K A Marrs

  • 1Section of Medical Informatics, Washington University, St. Louis, Missouri, USA.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1995
PubMed
Summary

Clinical information systems struggle with temporal data. A unified temporal data representation was developed for a drug dose monitoring expert system, but system-specific time handling created challenges.

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

Clinical Research Informatics for Big Data and Precision Medicine.

Yearbook of medical informatics·2016
Same author

Knowledge-Based Systems.

Yearbook of medical informatics·2016
Same author

Rapid transcriptional regulation of the Cab and pEA207 gene families in peas by blue light in the absence of cytoplasmic protein synthesis.

Planta·2013
Same author

The expanding informatics community: blessing or curse?

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

Clinical research databases and clinical decision making in chronic diseases.

Hormone research·1999
Same author

Nosocomial penicillin-resistant pneumococcal infections at a Midwestern university hospital.

Infection control and hospital epidemiology·1998

Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Database Management

Background:

  • Clinical information systems (CIS) increasingly require temporal data association.
  • Diverse data modeling techniques exist for capturing temporal features in CIS.
  • Point-based events and interval-based durations are common temporal representations.

Purpose of the Study:

  • To implement a rule-based expert system for drug dose monitoring across three CIS.
  • To establish a common database schema for a unified temporal data representation.
  • To assess the feasibility of using identical expert system code on disparate CIS.

Main Methods:

  • Developed a rule-based expert system requiring static and temporal drug dosing information.
  • Defined a common database schema to abstract underlying CIS data models.

Related Experiment Videos

  • Mapped clinical data from three source systems into a unified temporal data format.

    • Main Results:

    • Successfully mapped clinical data from three distinct CIS into a unified temporal representation.
    • Identified significant challenges arising from inherent differences in how each CIS handles time.
    • Demonstrated the difficulty in achieving a truly common expert system code due to temporal data variations.

    Conclusions:

    • A unified temporal data representation is achievable but complex due to CIS heterogeneity.
    • Differences in temporal data handling within clinical systems pose significant integration hurdles.
    • Further standardization in temporal data modeling within CIS is needed for seamless system interoperability.