Evidence map›Paper›PMID 31987517›Full record

ArticleApplied ergonomics2020

A Theoretical Framework for Understanding Creator-Consumer Information Interaction Behaviors in Healthcare Documentation Systems.

Priyadarshini R Pennathur

Abstract read
In one paragraph

Article in Applied ergonomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

1 author.

Priyadarshini R PennathurInformation and Cognitive Systems Engineering Research Laboratory, Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, 52242, USA. Electronic address: Priyadarshini-pennathur@uiowa.edu.

Funding

Technology, Cognitive Work, and Patient Safety: A Information-Oriented ModelR00LM011309 · NLM · UNIVERSITY OF IOWA · PI PENNATHUR, PRIYADARSHINI R · 2013 to 2015
$665k
NLM NIH HHS R00 LM011309
6 · The paper itself

Abstract

The advent of electronic documentation systems has made it easy to generate and store vast amounts of information, and has enabled easy access to patient care information, so much so that they are now considered a critical infrastructure for supporting the cognitive tasks in healthcare work. But, electronic documentation systems are not without their share of problems. Accountability and liability requirements have made electronic information creation and documentation particularly challenging. Mandatory documentation requirements and templated electronic formats have increased the amount of information, but have not always resulted in reliable, useful, or meaningful information. Documentation systems have become rigid, offering little opportunity for healthcare providers to engage in meaningful conversations about the information, and to sense problem status without additional coordination. A particularly significant information interaction problem that we have identified from our field work in healthcare information modeling, which this paper focuses on, deals with what we term creator-consumer interaction behaviors. The purpose of this paper is to examine in-depth the problem of creator-consumer information interaction behaviors in electronic healthcare documentation systems. A creator-consumer interaction behavioral framework highlights satisficing behavior during creation and consumption of medical documentation, and the characteristics of the work system that may lead to satisficing on documentation tasks.

Indexed as

Access to InformationConsumer BehaviorDelivery of Health CareComputer SecurityDocumentationElectronic Health RecordsHumansModels, TheoreticalDocumentationElectronic health recordsInformationSafetySatisficing

Identifiers

PMID31987517
PMCPMC7141766

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Registered trials

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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.