Evidence map›Paper›PMID 30590550›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Designing a medication timeline for patients and physicians.

Jeffery L Belden, Pete Wegier, Jennifer Patel, Andrew Hutson, Catherine Plaisant, Joi L Moore, Nathan J Lowrance, Suzanne A Boren, Richelle J Koopman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  3. MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis.Journal of the American Medical Informatics Association : JAMIA · 2024
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  11. Capturing Individual-level Social Determinants from Clinical Text.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
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  16. Article
  17. Review
  18. Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jeffery L BeldenDepartment of Family and Community Medicine, School of Medicine, University of Missouri, Columbia, Missouri, USA.
Pete WegierDepartment of Family and Community Medicine, School of Medicine, University of Missouri, Columbia, Missouri, USA.
Jennifer PatelGoInvo, Boston, Massachusetts, USA.
Andrew HutsonDepartment of Health Sciences, School of Health Professions, University of Missouri, Columbia, Missouri, USA.
Catherine PlaisantHuman Computer Interaction Laboratory, Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.
Joi L MooreMU Informatics Institute, University of Missouri, Columbia, Missouri, USA.
Nathan J LowranceThe School of Information Science and Learning Technologies, College of Education, University of Missouri, Columbia, Missouri, USA.
Suzanne A BorenMU Informatics Institute, University of Missouri, Columbia, Missouri, USA.
Richelle J KoopmanDepartment of Family and Community Medicine, School of Medicine, University of Missouri, Columbia, Missouri, USA.
University of Missouri · USUniversity of Missouri Health System · USUniversity of Maryland, College Park · US

Funding

Optimizing Display of Blood Pressure Data to Support Clinical Decision MakingR01HS023328 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI KOOPMAN, RICHELLE J · 2015 to 2019
$2.2M
AHRQ HHS R01 HS023328
6 · The paper itself

Abstract

Objective: Most electronic health records display historical medication information only in a data table or clinician notes. We designed a medication timeline visualization intended to improve ease of use, speed, and accuracy in the ambulatory care of chronic disease. Materials and Methods: We identified information needs for understanding a patient medication history, then applied human factors and interaction design principles to support that process. After research and analysis of existing medication lists and timelines to guide initial requirements, we hosted design workshops with multidisciplinary stakeholders to expand on our initial concepts. Subsequent core team meetings used an iterative user-centered design approach to refine our prototype. Finally, a small pilot evaluation of the design was conducted with practicing physicians. Results: We propose an open-source online prototype that incorporates user feedback from initial design workshops, and broad multidisciplinary audience feedback. We describe the applicable design principles associated with each of the prototype's key features. A pilot evaluation of the design showed improved physician performance in 5 common medication-related tasks, compared to tabular presentation of the same information. Discussion: There is industry interest in developing medication timelines based on the example prototype concepts. An open, standards-based technology platform could enable developers to create a medication timeline that could be deployable across any compatible health IT application. Conclusion: The design goal was to improve physician understanding of a patient's complex medication history, using a medication timeline visualization. Such a design could reduce temporal and cognitive load on physicians for improved and safer care.

Indexed as

Computer GraphicsDrug TherapyElectronic Health RecordsAdultAmbulatory CareChronic DiseaseDrug Administration ScheduleFemaleHumansMaleMedication ReconciliationMiddle AgedPatientsPhysiciansUser-Computer Interface

Identifiers

PMID30590550
PMCPMC7647176
OpenAlexW2905733110

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.