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Personal health data: A systematic mapping study.

Maria Karampela1, Sofia Ouhbi2, Minna Isomursu1

  • 1IT University of Copenhagen, Copenhagen, Rued Langgaards Vej 7, DK-2300 Copenhagen S, Denmark.

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|August 30, 2018
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Summary
This summary is machine-generated.

This study maps personal health data (PHD) research, revealing a surge in publications since 2014. Findings highlight data privacy and sharing as key topics, offering insights for future research and connected health practitioners.

Keywords:
Data privacy and securityData sharingDigital dataPersonal health dataSystematic mapping study

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Area of Science:

  • Computer Science
  • Health Informatics
  • Digital Health

Background:

  • Personal health data (PHD) research has grown significantly due to ubiquitous technology and healthcare's digital transformation.
  • Increased researcher interest necessitates a comprehensive overview of existing PHD literature.

Purpose of the Study:

  • To identify and address research gaps in the literature concerning personal health data (PHD).

Main Methods:

  • A systematic mapping study was conducted.
  • 79 papers were included and classified by publication source, year, research type, empirical type, contribution type, and topic.

Main Results:

  • PHD research has seen increased attention since 2014, with most papers published in journals.
  • Solution proposals and evaluation research were dominant types, often empirically evaluated.
  • Methods and frameworks were the main contributions, with data privacy and sharing as leading topics.

Conclusions:

  • This systematic mapping provides an overview of PHD research, aiding researchers in planning future studies.
  • Findings are valuable for practitioners in connected health seeking insights into the current PHD research landscape.