Evidence map›Paper›PMID 39122448›Full record

ArticleBMJ health & care informatics2024

Design and architecture of the CARA infrastructure for visualising and benchmarking patient data from general practice.

Nathaly Garzón-Orjuela, Agustin Garcia Pereira, Heike Vornhagen, Katarzyna Stasiewicz, Sana Parveen, Doaa Amin, Lukasz Porwol, Mathieu d'Aquin, Claire Collins, Fintan Stanley and 2 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Nathaly Garzón-OrjuelaCARA Network, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-6181-8154
Agustin Garcia PereiraInsight Centre for Data Analytics, University of Galway, Galway, Ireland.ORCID http://orcid.org/0000-0003-1874-3454
Heike VornhagenInsight Centre for Data Analytics, University of Galway, Galway, Ireland.ORCID http://orcid.org/0000-0002-7254-9786
Katarzyna StasiewiczInsight Centre for Data Analytics, University of Galway, Galway, Ireland.
Sana ParveenCARA Network, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0003-2382-1066
Doaa AminCARA Network, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-7114-1693
Lukasz PorwolInsight Centre for Data Analytics, University of Galway, Galway, Ireland.ORCID http://orcid.org/0000-0003-2417-3654
Mathieu d'AquinLORIA - Laboratoire Lorrain de Recherche en Informatique et Applications, Université de Lorraine, Nancy, France.ORCID http://orcid.org/0000-0001-7276-4702
Claire CollinsIrish College of General Practitioners, Dublin, Ireland.ORCID http://orcid.org/0000-0001-8967-5159
Fintan StanleyIrish College of General Practitioners, Dublin, Ireland.
Mike O'CallaghanIrish College of General Practitioners, Dublin, Ireland.ORCID http://orcid.org/0000-0002-8450-186X
Akke VellingaCARA Network, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland akke.vellinga@ucd.ie.ORCID http://orcid.org/0000-0002-6583-4300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCollaborate, Analyse, Research and Audit (CARA) project set out to provide an infrastructure to enable Irish general practitioners (GPs) to use their routinely collected patient management software (PMS) data to better understand their patient population, disease management and prescribing through data dashboards. This paper explains the design and development of the CARA infrastructure.

methodsThe first exemplar dashboard was developed with GPs and focused on antibiotic prescribing to develop and showcase the proposed infrastructure. The data integration process involved extracting, loading and transforming de-identified patient data into data models which connect to the interactive dashboards for GPs to visualise, compare and audit their data.

resultsThe architecture of the CARA infrastructure includes two main sections: extract, load and transform process (ELT, de-identified patient data into data models) and a Representational State Transfer Application Programming Interface (REST API) (which provides the security barrier between the data models and their visualisation on the CARA dashboard). CARAconnect was created to facilitate the extraction and de-identification of patient data from the practice database. DISCUSSION: The CARA infrastructure allows seamless connectivity with and compatibility with the main PMS in Irish general practice and provides a reproducible template to access and visualise patient data. CARA includes two dashboards, a practice overview and a topic-specific dashboard (example focused on antibiotic prescribing), which includes an audit tool, filters (within practice) and between-practice comparisons.

conclusionCARA supports evidence-based decision-making by providing GPs with valuable insights through interactive data dashboards to optimise patient care, identify potential areas for improvement and benchmark their performance against other practices.Supplementary file 1. Graphical abstract.

Indexed as

BenchmarkingGeneral PracticeElectronic Health RecordsHumansIrelandSoftwareUser-Computer InterfaceAccess to InformationData ScienceInformation Technology

Identifiers

PMID39122448
PMCPMC11331940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.