Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data

Kanupriya Singh, Shangman Li, Isa Jahnke, Mauro Lemus Alarcon, Abu Mosa and Prasad Calyam

Behaviour and Information Technology, 2024, vol. 43, issue 6, 1067-1095

Abstract: Data users (researchers, scientists) in healthcare institutions need access to integrated healthcare data to conduct timely analysis of diseases to serve the right population at the right time. However, preserving patient privacy and timely access to quality healthcare data is a critical challenge. Current healthcare data governance systems are largely manual. Besides, processing process data requests is extremely slow, often taking months. To address this gap, we designed an honest-broker-based healthcare application to support data users in accessing healthcare data securely and to design a comprehendible process of data governance for data users. This study applied two iterations of a user experience (UX) evaluation of an honest broker prototype. Results show that participants found the new system promising for their research prospects. Implications suggest that technological knowledge should not be a requirement for using healthcare applications to promote broader adoption in the community. This study highlights the necessity of a process to balance the control of access to sensitive data between data providers and users as well as to educate data users on data privacy. Iterative UX studies can be a fruitful approach in gradually uncovering problems and improving the design of complex systems.

Date: 2024
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DOI: 10.1080/0144929X.2023.2196596

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