A mobile and asynchronous electronic data capture system for epidemiologic studies

Jens Meyer, Daniel Fredrich, Jens Piegsa, Mohamad Habes, Neeltje van den Berg, Wolfgang Hoffmann

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

A Central Data Management (CDM) system based on electronic data capture (EDC) software and study specific databases is an essential component for assessment and management of large data volumes in epidemiologic studies. Conventional CDM systems using web applications for data capture depend on permanent access to a network. However, in many study settings permanent network access cannot be guaranteed, e.g. when participants/patients are visited in their homes. In such cases a different concept for data capture is needed. The utilized EDC software must be able to ensure data capture as stand-alone instance and to synchronize captured data with the server at a later point in time. This article describes the design of the mobile information capture (MInCa) system an EDC software meeting these requirements. In particular, we focus on client and server design, data synchronization, and data privacy as well as data security measures. The MInCa software has already proven its efficiency in epidemiologic studies revealing strengths and weaknesses concerning both concept and practical application which will be addressed in this article.

Original languageEnglish (US)
Pages (from-to)369-379
Number of pages11
JournalComputer Methods and Programs in Biomedicine
Volume110
Issue number3
DOIs
StatePublished - Jun 1 2013
Externally publishedYes

Keywords

  • Data dictionary
  • Electronic case report form (eCRF)
  • Electronic data capture (EDC)
  • Mobile asynchronous data capture

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics

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