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Related Experiment Video

Updated: Aug 29, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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An Effective Approach for Extending Medical Data to the Cloud Through Synthetic Data Generation for Educational

Alan Boyce1, Michael Dacey2, Tim Bashford2

  • 1National Data Resource (NDR), Digital Health and Care Wales (DHCW), Wales, United Kingdom.

Studies in Health Technology and Informatics
|September 8, 2022
PubMed
Summary

Healthcare adoption of cloud platforms is slow due to barriers. Synthetic data can overcome these challenges, enabling effective cloud platform evaluation and digital transformation in healthcare.

Keywords:
Cloud evaluationCloud firstData generationDigital transformationEducationHealthcareInformation governanceMedical dataPrivacySecuritySimulationSynthetic dataUnited KingdomWales

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Area of Science:

  • Health Informatics
  • Cloud Computing
  • Data Science

Background:

  • Healthcare faces significant barriers to technology adoption compared to other industries.
  • Cloud platforms offer benefits like scalability, cost reduction, and global collaboration.
  • Healthcare has been hesitant to leverage these cloud computing advantages.

Purpose of the Study:

  • To explore challenges hindering healthcare's adoption of cloud platforms.
  • To investigate how synthetic data can mitigate information governance barriers.
  • To demonstrate synthetic data's role in evaluating cloud platforms and fostering digital transformation.

Main Methods:

  • Exploration of challenges in healthcare technology adoption.
  • Analysis of synthetic data's potential to bypass information governance hurdles.
  • Assessment of synthetic data for cloud platform evaluation and research collaboration.

Main Results:

  • Synthetic data can circumvent initial information governance barriers in healthcare.
  • It provides practical experience for evaluating cloud platform suitability.
  • Facilitates research collaboration between healthcare, education, and industry.

Conclusions:

  • Synthetic data is a viable strategy for accelerating cloud adoption in healthcare.
  • It supports effective cloud platform assessment and enhances digital transformation initiatives.
  • Enables secure and efficient research collaborations, bridging gaps between sectors.