# Perceptions of health data commodification in AI-driven healthcare systems in Saudi Arabia

## TL;DR

This study explores how people in Saudi Arabia perceive the use and ownership of health data in AI-driven healthcare systems, highlighting concerns about privacy and trust.

## Contribution

The study provides novel insights into perceptions of health data commodification in Saudi Arabia’s AI healthcare context, emphasizing ethical governance and trust-building.

## Key findings

- 61.9% of patients consider health data as personal property, while 59.5% feel they have limited control over data usage.
- 50% of participants expressed low confidence in AI systems' ability to protect privacy, especially older participants.
- 81% of participants agreed to share data if financially incentivized, and 64.3% supported anonymized data sales with safeguards.

## Abstract

Artificial Intelligence (AI) is transforming healthcare service delivery through predictive analytics, precision medicine, and advanced diagnostics. However, the commodification of health data introduces complex ethical and social challenges related to privacy, ownership, and consent. This study explores perceptions of health data commodification within AI-driven healthcare systems, focusing on Saudi Arabia’s rapidly evolving digital healthcare landscape.

A mixed-methods approach was employed, combining quantitative surveys and in-depth qualitative interviews. The study included 42 patients, 8 healthcare professionals, 3 insurance representatives, and 4 AI experts. Data were collected across three main themes: data privacy, perceived benefits of AI, and attitudes toward data commodification. Quantitative data were analyzed descriptively, while qualitative responses were examined thematically.

Findings reveal that 61.9% of patients consider health data a form of personal property, while 59.5% feel they have limited control over how their data are used. A significant trust deficit was observed, with 50% expressing low confidence in AI systems’ ability to protect privacy, particularly among older participants. Financial incentives strongly influenced willingness to share data, with 81% agreeing to share their data if compensated. Furthermore, 64.3% supported the sale of anonymized data by healthcare providers to technology companies, provided adequate safeguards are in place.

These insights underscore the urgent need for robust regulatory frameworks emphasizing informed consent, transparency, and ethical governance in AI healthcare systems. The study highlights the importance of patient-centered policies, equitable compensation mechanisms, and enhanced training and awareness programs to build public trust and ensure responsible AI adoption. By addressing these ethical and governance challenges, policymakers can align technological innovation with equity, privacy, and the principles of ethical healthcare delivery.