Evidence map›Paper›PMID 31266480›Full record

ArticleBMC medical informatics and decision making2019

TASKA: A modular task management system to support health research studies.

João Rafael Almeida, Rosa Gini, Giuseppe Roberto, Peter Rijnbeek, José Luís Oliveira

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

João Rafael AlmeidaUniversity of Aveiro, DETI/IEETA, 3810-193, Aveiro, Portugal.
Rosa GiniAgenzia Regionale di Sanit della Toscana, Florence, Italy.
Giuseppe RobertoAgenzia Regionale di Sanit della Toscana, Florence, Italy.
Peter RijnbeekErasmus MC, Rotterdam, Netherlands.
José Luís OliveiraUniversity of Aveiro, DETI/IEETA, 3810-193, Aveiro, Portugal. jlo@ua.pt.ORCID 0000-0002-6672-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany healthcare databases have been routinely collected over the past decades, to support clinical practice and administrative services. However, their secondary use for research is often hindered by restricted governance rules. Furthermore, health research studies typically involve many participants with complementary roles and responsibilities which require proper process management.

resultsFrom a wide set of requirements collected from European clinical studies, we developed TASKA, a task/workflow management system that helps to cope with the socio-technical issues arising when dealing with multidisciplinary and multi-setting clinical studies. The system is based on a two-layered architecture: 1) the backend engine, which follows a micro-kernel pattern, for extensibility, and RESTful web services, for decoupling from the web clients; 2) and the client, entirely developed in ReactJS, allowing the construction and management of studies through a graphical interface. TASKA is a GNU GPL open source project, accessible at https://github.com/bioinformatics-ua/taska . A demo version is also available at https://bioinformatics.ua.pt/taska .

conclusionsThe system is currently used to support feasibility studies across several institutions and countries, in the context of the European Medical Information Framework (EMIF) project. The tool was shown to simplify the set-up of health studies, the management of participants and their roles, as well as the overall governance process.

Indexed as

Task Performance and AnalysisDatabases, FactualHealth Services ResearchHumansSoftwareUser-Computer InterfaceWorkflowClinical studiesTask managementWorkflow management

Identifiers

PMID31266480
PMCPMC6604289

What OpenQuestion holds

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LicenceCC BY
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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.