Evidence map›Paper›PMID 25445921›Full record

ArticleJournal of biomedical informatics2014

The clinician in the driver's seat: part 2 - intelligent uses of space in a drag/drop user-composable electronic health record.

Yalini Senathirajah, David Kaufman, Suzanne Bakken

Registry-linked trialAbstract read
In one paragraph

Article in Journal of biomedical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

NCT03911687 nacompletednot on this mapstarted 2020, after this paper: background citation

Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System

TypeinterventionalSponsorColumbia UniversityRan2020 to 2022Enrolled60,893ConditionsHospital Acquired ConditionArmsCONCERN CDS system notification
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  8. Article
  9. 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

3 authors.

Yalini SenathirajahColumbia University Department of Biomedical Informatics, New York, NY 10032, USA. Electronic address: yalini@downstate.edu.
David KaufmanBiomedical Informatics, Arizona State University, 13202 East Shea, Scottsdale, AZ 85259, USA. Electronic address: dave.kaufman@asu.edu.
Suzanne BakkenColumbia University Department of Biomedical Informatics, New York, NY 10032, USA; Columbia University School of Nursing, 617 West 168 th St. Room 225, New York, NY 10032, USA. Electronic address: sbh22@columbia.edu.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1RR024156NLM NIH HHS ST15 LM007079-15NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

User-composable approaches provide clinicians with the control to design and assemble information elements on screen via drag/drop. They hold considerable promise for enhancing the electronic-health-records (EHRs) user experience. We previously described this novel approach to EHR design and our illustrative system, MedWISE. The purpose of this paper is to describe clinician users' intelligent uses of space during completion of real patient case studies in a laboratory setting using MedWISE. Thirteen clinicians at a quaternary academic medical center used the system to review four real patient cases. We analyzed clinician utterances, behaviors, screen layouts (i.e., interface designs), and their perceptions associated with completing patient case studies. Clinicians effectively used the system to review all cases. Two coding schemata pertaining to human-computer interaction and diagnostic reasoning were used to analyze the data. Users adopted three main interaction strategies: rapidly gathering items on screen and reviewing ('opportunistic selection' approach); creating highly structured screens ('structured' approach); and interacting with small groups of items in sequence as their case review progressed ('dynamic stage' approach). They also used spatial arrangement in ways predicted by theory and research on workplace spatial arrangement. This includes assignment of screen regions for particular purposes (24% of spatial codes), juxtaposition to facilitate calculation or other cognitive tasks ('epistemic action'), and grouping elements with common meanings or relevance to the diagnostic facets of the case (20.3%). A left-to-right progression of orienting materials, data, and action items or reflection space was a commonly observed pattern. Widget selection was based on user assessment of what information was useful or relevant. We developed and tested an illustrative system that gives clinicians greater control of the EHR, and demonstrated its feasibility for case review by typical clinicians. Producing the simplifying inventions, such as user-composable platforms that shift control to the user, may serve to promote productive EHR use and enhance its value as an instrument of patient care.

Indexed as

Electronic Health RecordsUser-Computer InterfaceHealth PersonnelHumansMedical InformaticsElectronic health recordElectronic medical recordHuman–computer interactionMedWISEUser-composable EHRUser-configurable EHR

Identifiers

PMID25445921
PMCPMC5926811

What OpenQuestion holds

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Registered trials

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.