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Related Experiment Video

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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Published on: July 27, 2018

A mobile and asynchronous electronic data capture system for epidemiologic studies.

Jens Meyer1, Daniel Fredrich, Jens Piegsa

  • 1Institute of Community Medicine, Section Epidemiology of Health Care and Community Health, Ellernholzstr. 1-2, 17487 Greifswald, Germany. jens.meyer@uni-greifswald.de

Computer Methods and Programs in Biomedicine
|December 1, 2012
PubMed
Summary
This summary is machine-generated.

A new mobile information capture (MInCa) system enables electronic data capture (EDC) in epidemiologic studies without constant network access. This system ensures data synchronization for robust data management in challenging field settings.

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Area of Science:

  • Epidemiology
  • Health Informatics
  • Data Management

Background:

  • Central Data Management (CDM) systems are crucial for large-scale epidemiologic studies.
  • Conventional electronic data capture (EDC) systems require continuous network connectivity, limiting their use in field settings.
  • Mobile data capture is essential where network access is unreliable, such as in-home participant visits.

Purpose of the Study:

  • To describe the design of the mobile information capture (MInCa) system, an EDC software solution for offline data collection.
  • To detail the client and server architecture, data synchronization mechanisms, and security protocols of the MInCa system.
  • To evaluate the MInCa system's performance and identify its strengths and weaknesses in practical epidemiologic study applications.

Main Methods:

  • Development of the MInCa system, an EDC software designed for stand-alone data capture and later synchronization.
  • Implementation of client and server components for mobile data management.
  • Focus on data synchronization strategies, data privacy, and data security measures within the MInCa system.

Main Results:

  • The MInCa system facilitates electronic data capture in epidemiologic studies without requiring constant network access.
  • The system architecture supports stand-alone data collection and subsequent synchronization with a central server.
  • Initial application in epidemiologic studies has provided insights into the system's practical efficiency, strengths, and limitations.

Conclusions:

  • The MInCa system offers a viable solution for data management in epidemiologic studies conducted in environments with intermittent network connectivity.
  • The design addresses critical requirements for mobile EDC, including offline capability, data synchronization, privacy, and security.
  • Further evaluation and refinement of the MInCa system can enhance its utility in diverse field research settings.