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

Intelligent split menus for data entry: a simulation study in general practice medicine.

J R Warren1, P Bolton

  • 1Advanced Computing Research Centre, University of South Australia.

Proceedings. AMIA Symposium
|November 24, 1999
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

'We have a role to play:' American Sierra Leoneans communicating the impact of the Ebola virus locally and across the diaspora.

Public health·2020
Same author

Identifying research priorities for psychosocial support programs in humanitarian settings.

Global mental health (Cambridge, England)·2019
Same author

Measuring implementation in global mental health: validation of a pragmatic implementation science measure in eastern Ukraine using an experimental vignette design.

BMC health services research·2019
Same author

Can mental health treatments help prevent or reduce intimate partner violence in low- and middle-income countries? A systematic review.

BMC women's health·2019
Same author

Study participant reported outcomes of mental health interventions: results from a randomized controlled trial among survivors of systematic violence in southern Iraq.

Global mental health (Cambridge, England)·2018
Same author

Mental health interventions in Myanmar: a review of the academic and gray literature.

Global mental health (Cambridge, England)·2018
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

Dynamic hot lists in split menus can improve medication data entry efficiency in general practice. This automated approach identifies frequently selected items, potentially saving users time.

Area of Science:

  • Human-Computer Interaction
  • Health Informatics
  • Clinical Decision Support

Background:

  • The concept of 'split menus' with 'hot lists' of frequently selected items is a known interface design principle.
  • Previous research identified hot-list items using statistical analysis of historical data.

Purpose of the Study:

  • To develop an automated method for creating dynamic hot lists for medication data entry in general practice.
  • To enhance user efficiency in electronic health record (EHR) systems.

Main Methods:

  • Utilized clinical data from 113,000 patient visits to develop a statistical model.
  • Evaluated the model using simulated data entry from a held-back dataset.
  • Developed a prototype for a dynamic split menu system.

Related Experiment Videos

Main Results:

  • Simulated SOAP note entry demonstrated that 12-item hot lists captured over 70% of intended drug and diagnosis selections.
  • The developed statistical model effectively identified frequently used items.

Conclusions:

  • Automated dynamic hot lists represent a promising advancement in menu design for clinical settings.
  • Intelligent split menus have the potential to significantly improve user efficiency, especially if current methods exceed 3 seconds per item selection.