Paper Number
ICIS2025-2587
Paper Type
Panel
Abstract
This panel aims to debate and discuss two important aspects related to synthetic data creation, use and impact in healthcare. On the one hand, synthetic data presents significant opportunities to transform healthcare. On the other hand, it is critical that synthetic data reflect patient conditions accurately and protect patient privacy. The panel assembles five experienced healthcare researchers and thought leaders from all three AIS regions to discuss three specific issues: how can synthetic data represent actual patient conditions; how can synthetic data be validated to enhance trustworthiness, and when it should not be used; and how can privacy risks and potential harms to individuals be curtailed. We call on the information systems community to advance methods and develop frameworks to assess the creation, use and impact of synthetic data in healthcare. We also urge this community to engage with practitioners and policymakers to inform synthetic data use policies and practices.
Recommended Citation
Mishra, Abhay; Claggett, Jennifer; Sunyaev, Ali; Tremblay, Monica; and Guo, Xitong, "AI and Synthetic Data Use in Healthcare: A Mixed Blessing?" (2025). ICIS 2025 Proceedings. 3.
https://aisel.aisnet.org/icis2025/panels/panels/3
AI and Synthetic Data Use in Healthcare: A Mixed Blessing?
This panel aims to debate and discuss two important aspects related to synthetic data creation, use and impact in healthcare. On the one hand, synthetic data presents significant opportunities to transform healthcare. On the other hand, it is critical that synthetic data reflect patient conditions accurately and protect patient privacy. The panel assembles five experienced healthcare researchers and thought leaders from all three AIS regions to discuss three specific issues: how can synthetic data represent actual patient conditions; how can synthetic data be validated to enhance trustworthiness, and when it should not be used; and how can privacy risks and potential harms to individuals be curtailed. We call on the information systems community to advance methods and develop frameworks to assess the creation, use and impact of synthetic data in healthcare. We also urge this community to engage with practitioners and policymakers to inform synthetic data use policies and practices.
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Comments
26-Panel