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

Knowledge-based decision support for general practitioners: an integrated design.

T Timpka1

  • 1Department of Medical Informatics, Linköping University, Sweden.

Computer Methods and Programs in Biomedicine
|August 1, 1987
PubMed
Summary
This summary is machine-generated.

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

Concordance between COVID-19 mortality statistics derived from clinical audit and death certificates in Östergötland county, Sweden.

Public health·2023
Same author

Young athletes' health knowledge system: Qualitative analysis of health learning processes in adolescent sportspersons.

Scandinavian journal of medicine & science in sports·2017
Same author

Place-based social contact and mixing: a typology of generic meeting places of relevance for infectious disease transmission.

Epidemiology and infection·2017
Same author

Injuries in youth track and field are perceived to have multiple-level causes that call for ecological (holistic-developmental) interventions: A national sporting community perceptions and experiences.

Scandinavian journal of medicine & science in sports·2017
Same author

Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008-2012.

Epidemiology and infection·2017
Same author

Health and Clinical Management.

Yearbook of medical informatics·2016

This study designs decision-support systems (DSSs) for general practitioners (GPs) in primary care settings. It integrates multiple approaches to meet diverse GP needs effectively.

Area of Science:

  • Medical Informatics
  • Primary Care Medicine
  • Health Services Research

Background:

  • Most medical decision-support systems (DSSs) are designed for hospital use, not primary care.
  • General practitioners (GPs) in primary care face unique challenges due to the social context of patient visits.
  • Existing DSS approaches are insufficient for the varied demands of primary care.

Purpose of the Study:

  • To design novel decision-support systems (DSSs) specifically for general practitioners (GPs) in primary care.
  • To address the social context inherent in primary care settings within DSS design.
  • To integrate multiple technological approaches for comprehensive GP support.

Main Methods:

  • Designing DSSs tailored to the primary care environment.

Related Experiment Videos

  • Incorporating patient social context into system design.
  • Integrating Hypertext, Knowledge-Based Systems, and Online Library functionalities.
  • Main Results:

    • Development of a prototype DSS for primary care GPs.
    • Demonstration of integrated system capabilities.
    • Evaluation of the system's utility in a primary care context (details not provided in abstract).

    Conclusions:

    • A multi-approach DSS can effectively support general practitioners in primary care.
    • Integrating Hypertext, Knowledge-Based Systems, and Online Libraries addresses diverse GP needs.
    • Tailored DSS design is crucial for enhancing primary care delivery.