Literature DB >> 15528588

Automating research data collection.

Jason S Shapiro1, Michael J Bessette, Kevin M Baumlin, Deborah Fish Ragin, Lynne D Richardson.   

Abstract

This article reviews the capabilities, advantages, and disadvantages of three forms of automated data collection-scannable data forms, Web-based forms, and handheld computers-compared with the current standard of data entry by hand on paper forms. Each of these methods is reviewed with respect to ease of use, experience required of designer, end-user training requirements, costs, flexibility, speed, accuracy/error rate, potential for data loss, need for technical support, and equipment and/or software requirements. A discussion of their appropriate application to various kinds of studies is included, followed by examples of research studies using each of these methods.

Mesh:

Year:  2004        PMID: 15528588     DOI: 10.1197/j.aem.2004.08.017

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  6 in total

1.  Experiences with a PDA-based documentation system in clinical research.

Authors:  Torben K Becker; André Gries; Eike Martin; Michael Bernhard
Journal:  J Med Syst       Date:  2010-05-29       Impact factor: 4.460

2.  How Automation Can Help Alleviate the Budget Crunch in Public Health Research.

Authors:  Peter A Muennig
Journal:  Am J Public Health       Date:  2015-07-16       Impact factor: 9.308

3.  Detecting dissonance in clinical and research workflow for translational psychiatric registries.

Authors:  Luciana Cofiel; Débora U Bassi; Ryan Kumar Ray; Ricardo Pietrobon; Helena Brentani
Journal:  PLoS One       Date:  2013-09-20       Impact factor: 3.240

4.  Security approaches in using tablet computers for primary data collection in clinical research.

Authors:  Adam B Wilcox; Kathleen Gallagher; Suzanne Bakken
Journal:  EGEMS (Wash DC)       Date:  2013-02-13

5.  Optimizing data collection for public health decisions: a data mining approach.

Authors:  Susan N Partington; Vasil Papakroni; Tim Menzies
Journal:  BMC Public Health       Date:  2014-06-12       Impact factor: 3.295

6.  Real-time patient survey data during routine clinical activities for rapid-cycle quality improvement.

Authors:  James Lucius Wofford; Claudia L Campos; Robert E Jones; Sheila F Stevens
Journal:  JMIR Med Inform       Date:  2015-03-12
  6 in total

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