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A Taxonomy for Health Information Systems.

Anna Janssen1, Candice Donnelly1, Tim Shaw1

  • 1Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Journal of Medical Internet Research
|May 31, 2024
PubMed
Summary
This summary is machine-generated.

Digital health relies on diverse information technologies (IT) for data collection. This study provides a taxonomy of IT systems used in healthcare to help professionals understand and utilize electronic health data effectively.

Keywords:
actionable datadata revolutiondigital healtheHealthelectronic health datamobile phone

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Area of Science:

  • Digital Health
  • Health Informatics
  • Information Technology in Healthcare

Background:

  • The healthcare sector is increasingly digitized, generating large volumes of electronic health data.
  • A wide range of information and communication technologies (ICT) collect this data, from healthcare systems to consumer devices.
  • Many digital health professionals lack informatics expertise, creating a challenge in understanding and acting on this data.

Purpose of the Study:

  • To present a taxonomy categorizing common ICT systems that collect electronic health data.
  • To aid digital health professionals in understanding the landscape of data-collecting technologies.
  • To clarify how various IT systems contribute to the electronic health data ecosystem.

Main Methods:

  • An initial classification of key information systems was performed using a rapid literature review.
  • A subsequent purposeful search of scholarly and gray literature was conducted.
  • Extracted information was used to define systems and outline their strengths and limitations.

Main Results:

  • A taxonomy of common ICT systems used for electronic health data collection was developed.
  • Definitions for each system category were generated.
  • Strengths and limitations of various information systems were described.

Conclusions:

  • A structured understanding of ICT in digital health is crucial for effective data utilization.
  • The developed taxonomy can serve as a valuable resource for the digital health workforce.
  • Further understanding of these systems can improve data management and application in healthcare.