Evidence map›Paper›PMID 27396629›Full record

ArticleInternational journal of medical informatics2016

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap.

William D Dunn, Jake Cobb, Allan I Levey, David A Gutman

Abstract read
In one paragraph

Article in International journal of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

9 citing papers in PubMed.

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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

4 authors.

William D DunnDepartment of Neurology, Emory University, Atlanta, GA, USA; Department of Biomedical Informatics, Emory University, Atlanta, GA, USA.
Jake CobbCollege of Computing, Georgia Institute of Technology, Atlanta, GA, USA.
Allan I LeveyDepartment of Neurology, Emory University, Atlanta, GA, USA.
David A GutmanDepartment of Neurology, Emory University, Atlanta, GA, USA; Department of Biomedical Informatics, Emory University, Atlanta, GA, USA. Electronic address: dgutman@emory.edu.

Funding

The Emory Alzheimer's Disease CenterP50AG025688 · NIA · EMORY UNIVERSITY · PI LEVEY, ALLAN I · 2005 to 2019
$25.7M
ENNCF - Viral Vector CoreP30NS055077 · NINDS · EMORY UNIVERSITY · PI LEVEY, ALLAN I · 2008 to 2018
$6.8M
Advanced Development of an Open-source Platform for Web-based Integrative Digital Image Analysis in CancerU24CA194362 · NCI · EMORY UNIVERSITY · PI COOPER, LEE, GUTMAN, DAVID ANDREW · 2015 to 2019
$3.6M
NCI NIH HHS U24 CA194362NIA NIH HHS P50 AG025688NINDS NIH HHS P30 NS055077
6 · The paper itself

Abstract

objectiveA memory clinic at an academic medical center has relied on several ad hoc data capture systems including Microsoft Access and Excel for cognitive assessments over the last several years. However these solutions are challenging to maintain and limit the potential of hypothesis-driven or longitudinal research. REDCap, a secure web application based on PHP and MySQL, is a practical solution for improving data capture and organization. Here, we present a workflow and toolset to facilitate legacy data migration and real-time clinical research data collection into REDCap as well as challenges encountered. MATERIALS AND

methodsLegacy data consisted of neuropsychological tests stored in over 4000 Excel workbooks. Functions for data extraction, norm scoring, converting to REDCap-compatible formats, accessing the REDCap API, and clinical report generation were developed and executed in Python.

resultsOver 400 unique data points for each workbook were migrated and integrated into our REDCap database. Moving forward, our REDCap-based system replaces the Excel-based data collection method as well as eases the integration into the standard clinical research workflow and Electronic Health Record.

conclusionIn the age of growing data, efficient organization and storage of clinical and research data is critical for advancing research and providing efficient patient care. We believe that the workflow and tools described in this work to promote legacy data integration as well as real time data collection into REDCap ultimately facilitate these goals.

Indexed as

Biomedical ResearchClinical Trials as TopicDatabase Management SystemsDatabases, FactualData CollectionElectronic Health RecordsHumansInternetMedical InformaticsSoftwareUser-Computer InterfaceWorkflowBiomedical informaticsClinical informaticsClinical research informaticsElectronic health recordETLREDCap

Identifiers

PMID27396629
PMCPMC5452680

What OpenQuestion holds

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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.