Evidence map›Paper›PMID 23304332›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies.

Marcelo Lopetegui, Po-Yin Yen, Albert M Lai, Peter J Embi, Philip R O Payne

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

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

26 citing papers in PubMed.

  1. Trial
  2. Observational
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  6. Observational
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  10. Article
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  12. Review
  13. Metrics for assessing physician activity using electronic health record log data.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Nurses' Time Allocation and Multitasking of Nursing Activities: A Time Motion Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    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

5 authors.

Marcelo LopeteguiDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Po-Yin Yen
Albert M Lai
Peter J Embi
Philip R O Payne

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time Motion Studies (TMS) have proved to be the gold standard method to measure and quantify clinical workflow, and have been widely used to assess the impact of health information systems implementation. Although there are tools available to conduct TMS, they provide different approaches for multitasking, interruptions, inter-observer reliability assessment and task taxonomy, making results across studies not comparable. We postulate that a significant contributing factor towards the standardization and spread of TMS would be the availability and spread of an accessible, scalable and dynamic tool. We present the development of a comprehensive Time Capture Tool (TimeCaT): a web application developed to support data capture for TMS. Ongoing and continuous development of TimeCaT includes the development and validation of a realistic inter-observer reliability scoring algorithm, the creation of an online clinical tasks ontology, and a novel quantitative workflow comparison method.

Indexed as

Time and Motion StudiesWorkflowAmbulatory Care FacilitiesHumansInternet

Identifiers

PMID23304332
PMCPMC3540552

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.