Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
When people living in low resource environments struggle to access the resources they need live, they are faced with health inequities caused by lack of access to social determinants of health. This paper aims to understand the ways in which generative AI can enable equitable access to resources that are key to social determinants of health (such as dental health, mental health, domestic violence services, substance abuse services, among many others). In order to conduct the investigation, this research seeks to answer: 1) How can AI-powered mobile health services improve the state of social determinants of health? And 2) In what ways can a generative-AI mHealth chatbot enable access to healthcare? The questions are investigated, first through the testing of four hypotheses using data gathered from international agencies, and second through use cases of a chatbot powered through generative AI assisting access to location-based resources. This contribution uncovers key constructs and generative AI features that enable health equity.
Recommended Citation
Qureshi, Sajda; Oladokun, Blessing; and Nadendla, Kavya, "Can Generative Artificial Intelligence Enable Equitable Access to Social Determinants of Health?" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 7.
https://aisel.aisnet.org/hicss-58/sj/digital_divide/7
Can Generative Artificial Intelligence Enable Equitable Access to Social Determinants of Health?
Hilton Waikoloa Village, Hawaii
When people living in low resource environments struggle to access the resources they need live, they are faced with health inequities caused by lack of access to social determinants of health. This paper aims to understand the ways in which generative AI can enable equitable access to resources that are key to social determinants of health (such as dental health, mental health, domestic violence services, substance abuse services, among many others). In order to conduct the investigation, this research seeks to answer: 1) How can AI-powered mobile health services improve the state of social determinants of health? And 2) In what ways can a generative-AI mHealth chatbot enable access to healthcare? The questions are investigated, first through the testing of four hypotheses using data gathered from international agencies, and second through use cases of a chatbot powered through generative AI assisting access to location-based resources. This contribution uncovers key constructs and generative AI features that enable health equity.
https://aisel.aisnet.org/hicss-58/sj/digital_divide/7