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Perception of Synthetic Data: Insights from Healthcare Practitioners. An Exploration of Attitudes for Synthetic Data in Healthcare.

Lagergren, Jonatan LU and Olemyr, Nils (2024) INFM10 20241
Department of Informatics
Abstract (Swedish)
Synthetic data is becoming more accessible and presents several benefits over traditional human-derived data for developing healthcare technology, especially in medical imaging systems. The primary reasons for using synthetic data are to minimise the potential privacy risks associated with real human data and to substantially increase the overall volume of available data. Previous research has largely focused on quantitative efficiency, with little attention given to practitioners' perceptions of synthetic data, and its overall consequences for their role as care providers. After interviewing practitioners with different medical specialties, the respondents made it evident that synthetic data alters the perception of technology if used in... (More)
Synthetic data is becoming more accessible and presents several benefits over traditional human-derived data for developing healthcare technology, especially in medical imaging systems. The primary reasons for using synthetic data are to minimise the potential privacy risks associated with real human data and to substantially increase the overall volume of available data. Previous research has largely focused on quantitative efficiency, with little attention given to practitioners' perceptions of synthetic data, and its overall consequences for their role as care providers. After interviewing practitioners with different medical specialties, the respondents made it evident that synthetic data alters the perception of technology if used in the optimisation process of the technology with both negative and positive attributes. Trust in synthetic data is ambivalent due to concerns about its novelty. Synthetic data plays a pivotal role in structural changes, not by replacing practitioners, but by shifting the distribution of skills. Synthetic data may also subtly shift the practitioner-patient relationship, potentially distancing or enhancing their connection. (Less)
Please use this url to cite or link to this publication:
author
Lagergren, Jonatan LU and Olemyr, Nils
supervisor
organization
course
INFM10 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
Synthetic Data, Data, Medical Imaging Systems, Healthcare, Practitioners perception
language
English
id
9161135
date added to LUP
2024-06-19 10:59:06
date last changed
2024-06-19 10:59:06
@misc{9161135,
  abstract     = {{Synthetic data is becoming more accessible and presents several benefits over traditional human-derived data for developing healthcare technology, especially in medical imaging systems. The primary reasons for using synthetic data are to minimise the potential privacy risks associated with real human data and to substantially increase the overall volume of available data. Previous research has largely focused on quantitative efficiency, with little attention given to practitioners' perceptions of synthetic data, and its overall consequences for their role as care providers. After interviewing practitioners with different medical specialties, the respondents made it evident that synthetic data alters the perception of technology if used in the optimisation process of the technology with both negative and positive attributes. Trust in synthetic data is ambivalent due to concerns about its novelty. Synthetic data plays a pivotal role in structural changes, not by replacing practitioners, but by shifting the distribution of skills. Synthetic data may also subtly shift the practitioner-patient relationship, potentially distancing or enhancing their connection.}},
  author       = {{Lagergren, Jonatan and Olemyr, Nils}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Perception of Synthetic Data: Insights from Healthcare Practitioners. An Exploration of Attitudes for Synthetic Data in Healthcare.}},
  year         = {{2024}},
}